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  • Pitt Computer Science to host WiCStart Program!

    Are you a woman coming to Pitt? Are you unsure of what to study? Do you want to know more about computer science? Sign up for WiCStart! WiCStart takes place the week before fall classes begin, and is designed to introduce incoming undeclared women to computer science in a no-pressure environment. WiCStart students will be permitted to move into their residence halls one week early. They will get a broad overview of various topics in computer science and hear stories, advice, and technical information from upperclassmen and professional women in industry. Lunch will be served daily. Throughout the week, students will learn about such topics as basic hardware and software concepts, programming, big data, and artificial intelligence. They will also learn about the benefits of being a CS student at Pitt and graduating with a CS degree. Finally, they will be given the chance to connect with other technical women. There are no costs for attending WiCStart. In addition to an early move-in date and free lunch, we’ll provide all necessary materials and equipment. Please email wicstart@cs.pitt.edu if you are interested in learning more.

    Are you a woman coming to Pitt? Are you unsure of what to study? Do you want to know more about computer science? Sign up for WiCStart!
    WiCStart takes place the week before fall classes begin, and is designed to introduce incoming undeclared women to computer science in a no-pressure environment.
    WiCStart students will be permitted to move into their residence halls one week early. They will get a broad overview of various topics in computer science and hear stories, advice, and technical information from upperclassmen and professional women in industry. Lunch will be served daily.

    Throughout the week, students will learn about such topics as basic hardware and software concepts, programming, big data, and artificial intelligence. They will also learn about the benefits of being a CS student at Pitt and graduating with a CS degree. Finally, they will be given the chance to connect with other technical women.

    There are no costs for attending WiCStart. In addition to an early move-in date and free lunch, we’ll provide all necessary materials and equipment.

    Please email wicstart@cs.pitt.edu if you are interested in learning more.

  • Pitt CS Welcomes TLI Participants

    The Department of Computer Science's Technology Leadership Initiative kicked off its summer program by welcoming 35 middle school girls to Sennott Square for Tech Divaz, a week full of technology and fun. Shelley Goldberg and Sabrina Aravena, the instructors for Tech Divaz, planned an exciting and innovative curriculum that focuses on introducing the girls to the field of computer science through activities encompassing everything the discipline has to offer, from hardware to software and everything in between. At the end of the week, we are looking forward to welcoming friends and family to the department and seeing the projects the students have put together! High School Academy follows Tech Divaz and gives students in grades 9-12 a two-week crash course in computer science and allows them a glimpse into life at the University of Pittsburgh and potential career paths as a computer science major.

    The Department of Computer Science's Technology Leadership Initiative kicked off its summer program by welcoming 35 middle school girls to Sennott Square for Tech Divaz, a week full of technology and fun. Shelley Goldberg and Sabrina Aravena, the instructors for Tech Divaz, planned an exciting and innovative curriculum that focuses on introducing the girls to the field of computer science through activities encompassing everything the discipline has to offer, from hardware to software and everything in between. At the end of the week, we are looking forward to welcoming friends and family to the department and seeing the projects the students have put together!
    High School Academy follows Tech Divaz and gives students in grades 9-12 a two-week crash course in computer science and allows them a glimpse into life at the University of Pittsburgh and potential career paths as a computer science major.

  • Pitt CS Startup Receiving Local Attention

    CS seniors Natalie Boehm and Robbie McKinstry, along with two other Pitt students, have created software to assist in grading computer science projects. They named their software Alligrader, and recently competed in the Blast Furnace demo event held at the William Pitt Union. Alligrader is a software intended to help improve the accuracy and efficiency of grading computer science projects, a task that is time-consuming for professors and TAs. Though they didn't win the startup competition, they do hope to market their product to department chairs and are looking to partner with other accelerators. Read the full Post-Gazette article here

    CS seniors Natalie Boehm and Robbie McKinstry, along with two other Pitt students, have created software to assist in grading computer science projects. They named their software Alligrader, and recently competed in the Blast Furnace demo event held at the William Pitt Union. Alligrader is a software intended to help improve the accuracy and efficiency of grading computer science projects, a task that is time-consuming for professors and TAs. Though they didn't win the startup competition, they do hope to market their product to department chairs and are looking to partner with other accelerators. Read the full Post-Gazette article here

  • Congratulations to Professor Adriana Kovashka on receiving a NSF CRII CISE Research Initiation Grant!

    This project develops technologies to interpret the visual rhetoric of images. The project advances computer vision through novel solutions to the novel problem of decoding the visual messages in advertisements and artistic photographs, and thus brings computer vision closer to its goal of being able to automatically understand visual content. From a practical standpoint, understanding visual rhetoric can be used to produce image descriptions for the visually impaired that align with how a human would label these images, and thus give them access to the rich content shown in newspapers or on TV. This project is tightly integrated with education. The work is interdisciplinary and can attract undergraduate students to the research from different fields. This research focuses on three media understanding tasks: (1) understanding the persuasive messages conveyed by artistic images and the strategies that those images use to convey their message; (2) exposing a photographer's bias towards their subject, e.g., determining whether a photograph portrays its subject in a positive or negative light; and (3) predicting what part of an artistic photograph a viewer might find most captivating or poignant. To enable decoding of artistic images, a large dataset is collected and annotated with a number of artistic properties and persuasion techniques that are intended for human understanding, then methods are developed to model visual symbolism in artistic images, as well as adapt positive/negative effect methods from sentiment analysis. To predict the photographer's bias towards a subject, a dataset of historical and modern portrayals of minorities and foreigners is collected, then an algorithm is created that reasons about body language and 3D layout and composition of the photo. To predict poignance, eyetracking data on a set of artistic images from famous photographers is collected, then semantic and connotation conflicts between the objects in the photographs are analyzed.

    This project develops technologies to interpret the visual rhetoric of images. The project advances computer vision through novel solutions to the novel problem of decoding the visual messages in advertisements and artistic photographs, and thus brings computer vision closer to its goal of being able to automatically understand visual content. From a practical standpoint, understanding visual rhetoric can be used to produce image descriptions for the visually impaired that align with how a human would label these images, and thus give them access to the rich content shown in newspapers or on TV. This project is tightly integrated with education. The work is interdisciplinary and can attract undergraduate students to the research from different fields.

    This research focuses on three media understanding tasks: (1) understanding the persuasive messages conveyed by artistic images and the strategies that those images use to convey their message; (2) exposing a photographer's bias towards their subject, e.g., determining whether a photograph portrays its subject in a positive or negative light; and (3) predicting what part of an artistic photograph a viewer might find most captivating or poignant. To enable decoding of artistic images, a large dataset is collected and annotated with a number of artistic properties and persuasion techniques that are intended for human understanding, then methods are developed to model visual symbolism in artistic images, as well as adapt positive/negative effect methods from sentiment analysis. To predict the photographer's bias towards a subject, a dataset of historical and modern portrayals of minorities and foreigners is collected, then an algorithm is created that reasons about body language and 3D layout and composition of the photo. To predict poignance, eyetracking data on a set of artistic images from famous photographers is collected, then semantic and connotation conflicts between the objects in the photographs are analyzed.

  • PhD student Huy Nguyen Wins Best Student Paper Award

    Huy Nguyen, a sixth year PhD student at the University of Pittsburgh under the advising of Dr. Diane Litman was recently awarded "Best Student Paper" at the 29th International Florida Artificial Intelligence Research Society conference. Congratulations!!

    Huy Nguyen, a sixth year PhD student at the University of Pittsburgh under the advising of Dr. Diane Litman was recently awarded "Best Student Paper" at the 29th International Florida Artificial Intelligence Research Society conference. Congratulations!!

  • Congratulations to Professor Adriana Kovashka on receiving a NSF CRII CISE Research Initiation Grant!

    This project develops technologies to interpret the visual rhetoric of images. The project advances computer vision through novel solutions to the novel problem of decoding the visual messages in advertisements and artistic photographs, and thus brings computer vision closer to its goal of being able to automatically understand visual content. From a practical standpoint, understanding visual rhetoric can be used to produce image descriptions for the visually impaired that align with how a human would label these images, and thus give them access to the rich content shown in newspapers or on TV. This project is tightly integrated with education. The work is interdisciplinary and can attract undergraduate students to the research from different fields. This research focuses on three media understanding tasks: (1) understanding the persuasive messages conveyed by artistic images and the strategies that those images use to convey their message; (2) exposing a photographer's bias towards their subject, e.g., determining whether a photograph portrays its subject in a positive or negative light; and (3) predicting what part of an artistic photograph a viewer might find most captivating or poignant. To enable decoding of artistic images, a large dataset is collected and annotated with a number of artistic properties and persuasion techniques that are intended for human understanding, then methods are developed to model visual symbolism in artistic images, as well as adapt positive/negative effect methods from sentiment analysis. To predict the photographer's bias towards a subject, a dataset of historical and modern portrayals of minorities and foreigners is collected, then an algorithm is created that reasons about body language and 3D layout and composition of the photo. To predict poignance, eyetracking data on a set of artistic images from famous photographers is collected, then semantic and connotation conflicts between the objects in the photographs are analyzed.

    This project develops technologies to interpret the visual rhetoric of images. The project advances computer vision through novel solutions to the novel problem of decoding the visual messages in advertisements and artistic photographs, and thus brings computer vision closer to its goal of being able to automatically understand visual content. From a practical standpoint, understanding visual rhetoric can be used to produce image descriptions for the visually impaired that align with how a human would label these images, and thus give them access to the rich content shown in newspapers or on TV. This project is tightly integrated with education. The work is interdisciplinary and can attract undergraduate students to the research from different fields.

    This research focuses on three media understanding tasks: (1) understanding the persuasive messages conveyed by artistic images and the strategies that those images use to convey their message; (2) exposing a photographer's bias towards their subject, e.g., determining whether a photograph portrays its subject in a positive or negative light; and (3) predicting what part of an artistic photograph a viewer might find most captivating or poignant. To enable decoding of artistic images, a large dataset is collected and annotated with a number of artistic properties and persuasion techniques that are intended for human understanding, then methods are developed to model visual symbolism in artistic images, as well as adapt positive/negative effect methods from sentiment analysis. To predict the photographer's bias towards a subject, a dataset of historical and modern portrayals of minorities and foreigners is collected, then an algorithm is created that reasons about body language and 3D layout and composition of the photo. To predict poignance, eyetracking data on a set of artistic images from famous photographers is collected, then semantic and connotation conflicts between the objects in the photographs are analyzed.

  • Valued Staff Member Russell A. Howard II Passes Away

    It is with a heavy heart that we share the news of long time staff member Russell "Russ" Howard's passing. He received his BS in Computer Science and MS in Information Science from the University of Pittsburgh. He worked for the Department of Computer Science for over 20 years as a valued and beloved member of the technical staff. He contributed to the CS Department in countless ways, and was an important part of the CS Department staff. He was well liked by all and he will be deeply missed. We will remember him always for his devotion to the Department and his sincere kindness to everyone he met. http://www.cicholski-zidekfuneralhome.com/notices/Russell-HowardII

    It is with a heavy heart that we share the news of long time staff member Russell "Russ" Howard's passing. He received his BS in Computer Science and MS in Information Science from the University of Pittsburgh. He worked for the Department of Computer Science for over 20 years as a valued and beloved member of the technical staff. He contributed to the CS Department in countless ways, and was an important part of the CS Department staff. He was well liked by all and he will be deeply missed. We will remember him always for his devotion to the Department and his sincere kindness to everyone he met. http://www.cicholski-zidekfuneralhome.com/notices/Russell-HowardII

  • Pitt Computer Science Supports NCWIT Aspirations in Computing by offering scholarships to NCWIT Winners!

    The National Center for Women & Information Technology (NCWIT) is a non-profit change leader network of more than 650 universities, companies, non-profits, and government organizations nationwide working to increase women’s meaningful participation in computing. The Department of Computer Science is a proud NCWIT Academic Alliance Member. The NCWIT Award for Aspirations in Computing honors young women at the high-school level for their computing-related achievements and interests. Awardees are selected for their computing and IT aptitude, leadership ability, academic history, and plans for post-secondary education. Offers both a national and local award competition. The Department of Computer Science offers a $5,000 scholarship for NCWIT Aspirations in Computing Winners! The award ceremony was held on April, 2nd, 2016!

    The National Center for Women & Information Technology (NCWIT) is a non-profit change leader network of more than 650 universities, companies, non-profits, and government organizations nationwide working to increase women’s meaningful participation in computing. The Department of Computer Science is a proud NCWIT Academic Alliance Member.
    The NCWIT Award for Aspirations in Computing honors young women at the high-school level for their computing-related achievements and interests. Awardees are selected for their computing and IT aptitude, leadership ability, academic history, and plans for post-secondary education. Offers both a national and local award competition.
    The Department of Computer Science offers a $5,000 scholarship for NCWIT Aspirations in Computing Winners! The award ceremony was held on April, 2nd, 2016!

  • Mohamed Aly, CS Ph.D. Alumni, featured in Forbes Magazine

    Mohamed Aly, under the advising of Panos Chrysanthis and Kirk Pruhs, received his Ph.D. in 2009. In 2011, he founded his own start-up called Seeloz. Read the full Forbes article here

    Mohamed Aly, under the advising of Panos Chrysanthis and Kirk Pruhs, received his Ph.D. in 2009. In 2011, he founded his own start-up called Seeloz.
    Read the full Forbes article here

  • Pitt CS Department's Hackathons Highlighted in Pitt News!

    With SheInnovates and SteelHacks concluding successfully, the Pitt News highlighted the events and focused on the increased efforts to build diversity in the STEM fields, specifically computer science. Read the full article here: http://pittnews.com/article/68838/news/coding-for-confidence/

    With SheInnovates and SteelHacks concluding successfully, the Pitt News highlighted the events and focused on the increased efforts to build diversity in the STEM fields, specifically computer science. Read the full article here:

    http://pittnews.com/article/68838/news/coding-for-confidence/

  • Congratulations to Professor Adriana Kovashka on receiving a NSF CRII CISE Research Initiation Grant!

    This project develops technologies to interpret the visual rhetoric of images. The project advances computer vision through novel solutions to the novel problem of decoding the visual messages in advertisements and artistic photographs, and thus brings computer vision closer to its goal of being able to automatically understand visual content. From a practical standpoint, understanding visual rhetoric can be used to produce image descriptions for the visually impaired that align with how a human would label these images, and thus give them access to the rich content shown in newspapers or on TV. This project is tightly integrated with education. The work is interdisciplinary and can attract undergraduate students to the research from different fields. This research focuses on three media understanding tasks: (1) understanding the persuasive messages conveyed by artistic images and the strategies that those images use to convey their message; (2) exposing a photographer's bias towards their subject, e.g., determining whether a photograph portrays its subject in a positive or negative light; and (3) predicting what part of an artistic photograph a viewer might find most captivating or poignant. To enable decoding of artistic images, a large dataset is collected and annotated with a number of artistic properties and persuasion techniques that are intended for human understanding, then methods are developed to model visual symbolism in artistic images, as well as adapt positive/negative effect methods from sentiment analysis. To predict the photographer's bias towards a subject, a dataset of historical and modern portrayals of minorities and foreigners is collected, then an algorithm is created that reasons about body language and 3D layout and composition of the photo. To predict poignance, eyetracking data on a set of artistic images from famous photographers is collected, then semantic and connotation conflicts between the objects in the photographs are analyzed.

    This project develops technologies to interpret the visual rhetoric of images. The project advances computer vision through novel solutions to the novel problem of decoding the visual messages in advertisements and artistic photographs, and thus brings computer vision closer to its goal of being able to automatically understand visual content. From a practical standpoint, understanding visual rhetoric can be used to produce image descriptions for the visually impaired that align with how a human would label these images, and thus give them access to the rich content shown in newspapers or on TV. This project is tightly integrated with education. The work is interdisciplinary and can attract undergraduate students to the research from different fields.

    This research focuses on three media understanding tasks: (1) understanding the persuasive messages conveyed by artistic images and the strategies that those images use to convey their message; (2) exposing a photographer's bias towards their subject, e.g., determining whether a photograph portrays its subject in a positive or negative light; and (3) predicting what part of an artistic photograph a viewer might find most captivating or poignant. To enable decoding of artistic images, a large dataset is collected and annotated with a number of artistic properties and persuasion techniques that are intended for human understanding, then methods are developed to model visual symbolism in artistic images, as well as adapt positive/negative effect methods from sentiment analysis. To predict the photographer's bias towards a subject, a dataset of historical and modern portrayals of minorities and foreigners is collected, then an algorithm is created that reasons about body language and 3D layout and composition of the photo. To predict poignance, eyetracking data on a set of artistic images from famous photographers is collected, then semantic and connotation conflicts between the objects in the photographs are analyzed.

  • PhD student Huy Nguyen Wins Best Student Paper Award

    Huy Nguyen, a sixth year PhD student at the University of Pittsburgh under the advising of Dr. Diane Litman was recently awarded "Best Student Paper" at the 29th International Florida Artificial Intelligence Research Society conference. Congratulations!!

    Huy Nguyen, a sixth year PhD student at the University of Pittsburgh under the advising of Dr. Diane Litman was recently awarded "Best Student Paper" at the 29th International Florida Artificial Intelligence Research Society conference. Congratulations!!

  • Pitt CS Students Ritwik Gupta and Laurence Putterman Win Red Bull's Hack the Hits!

    Pitt Computer Science students Laurence Putterman and Ritwik Gupta, along with Tiffany Jiang from Carnegie Mellon, were recently one of 5 teams around the nation picked to compete in Red Bull’s Hack the Hits hackathon in San Francisco this past weekend. Their team won first place where they created a MIDI controller that mimics the experience of playing a string instrument with some additions. Over the course of 24 hours, each of the 5 teams (from schools such as Stanford and UC Berkeley) tried to create an expressive, playable instrument that could be used in a live or studio setting. Using four touch sensitive “thinpot” (thin potentiometer) sensors connected to an Arduino and some cardboard, they recreated the general shape of a guitar, where the thinpot sensors took the place of strings. This enabled the player to expressively slide their notes just like a string instrument player. In addition, a Leap Motion attached to the body of the instrument allowed players to modulate effects by gesturing in front of the instrument with their hands. The thinpot sensors send their output to the Arduino, which relays the information over a serial connection. Max for Live, a powerful visual programming environment specifically designed for interfacing with Ableton Live (audio software), receives this data, separates the data according to sensor, and transforms those values into MIDI. Each sensor outputs to its own MIDI channel, allowing the user a great deal of flexibility with regards to how they would like the instrument to sound. They were featured in Forbes, follow the link for the article http://goo.gl/RR5G8M Congratulations to Ritwik and Laurence!!!

    Pitt Computer Science students Laurence Putterman and Ritwik Gupta, along with Tiffany Jiang from Carnegie Mellon, were recently one of 5 teams around the nation picked to compete in Red Bull’s Hack the Hits hackathon in San Francisco this past weekend. Their team won first place where they created a MIDI controller that mimics the experience of playing a string instrument with some additions. Over the course of 24 hours, each of the 5 teams (from schools such as Stanford and UC Berkeley) tried to create an expressive, playable instrument that could be used in a live or studio setting. Using four touch sensitive “thinpot” (thin potentiometer) sensors connected to an Arduino and some cardboard, they recreated the general shape of a guitar, where the thinpot sensors took the place of strings. This enabled the player to expressively slide their notes just like a string instrument player. In addition, a Leap Motion attached to the body of the instrument allowed players to modulate effects by gesturing in front of the instrument with their hands. The thinpot sensors send their output to the Arduino, which relays the information over a serial connection. Max for Live, a powerful visual programming environment specifically designed for interfacing with Ableton Live (audio software), receives this data, separates the data according to sensor, and transforms those values into MIDI. Each sensor outputs to its own MIDI channel, allowing the user a great deal of flexibility with regards to how they would like the instrument to sound. They were featured in Forbes, follow the link for the article http://goo.gl/RR5G8M Congratulations to Ritwik and Laurence!!!

  • Pitt CS PhD Students are 2 of the 3 Nominees for Best Student Paper!

    At the 29th International Florida Artificial Intelligence Research Society Conference Pitt CS PhD students Huy Nguyen and Wencan Luo are two of the three nominees for Best Student Paper. "Improving Argument Mining in Student Essays by Learning and Exploiting Argument Indicators versus Essay Topics" - Huy Nguyen and Diane Litman "Determining the Quality of a Student Reflective Response" - Wencan Luo and Diane Litman For more information: http://www.cs.ccsu.edu/~markov/FLAIRS-29/FLAIRS-29%20Program-V2.pdf

    At the 29th International Florida Artificial Intelligence Research Society Conference Pitt CS PhD students Huy Nguyen and Wencan Luo are two of the three nominees for Best Student Paper.

    "Improving Argument Mining in Student Essays by Learning and Exploiting Argument Indicators versus Essay Topics" - Huy Nguyen and Diane Litman

    "Determining the Quality of a Student Reflective Response" - Wencan Luo and Diane Litman

    For more information: http://www.cs.ccsu.edu/~markov/FLAIRS-29/FLAIRS-29%20Program-V2.pdf

  • CS Department Announces Honor Roll and Outstanding Undergraduate Student

    To be named to the CS Honor Roll for a given academic year, students must: 1. Be a full time student for the academic year 2. Have taken at least 3 CS courses including at least 2 upper level CS classes 3. Have a CS GPA of 3.75+ 4. Have an overall GPA of 3.5+ 37 students were named to the CS Honor Roll for 2014-2015. They are: Nicholas Alberts Zachary Alcorn Reed Armstrong Joseph Baker Devon Broglie Michael Byrne Yijia Cui Adam Darr Leart Doko Sarah Dubnik Stephen Ellis Rinat Gatyatullin Alexander Glyde Shelley Goldberg Eric Gratta Spencer Gray Joseph Hagner Corey Hoffman Adam Jaworski Adnan Khan Charles Kiorpes Andrew Lucas Aditya Mahadevan Julian Manfredi Peter Mash William McKibbin Edwin Mellett David Neiman John Phillips Joel Roggeman Justin Rushin Adam Schwab Lauren Thompson Frank Wolverton Megan Yates Jiayan Zhang Sheridan Zivanovich For 2015-2016, Joel Roggeman was chosen by the faculty as the outstanding undergraduate student for his academic excellence and in his participation in extracurricular activities that support the CS Department. Joel has a CS GPA of 4.0, and overall GPA of 3.967, and has received 6 A+ grades in CS courses. In addition to his strong academics, Joel is a math minor, has done research in collaboration with Dr. Alex Labrinidis, is a peer tutor in the CS Resource Center, and is the Computer Science Club business manager. Please join the CS Department in congratulating all of these students for their successes!

    To be named to the CS Honor Roll for a given academic year, students must:
    1. Be a full time student for the academic year
    2. Have taken at least 3 CS courses including at least 2 upper level CS classes
    3. Have a CS GPA of 3.75+
    4. Have an overall GPA of 3.5+

    37 students were named to the CS Honor Roll for 2014-2015. They are:
    Nicholas Alberts
    Zachary Alcorn
    Reed Armstrong
    Joseph Baker
    Devon Broglie
    Michael Byrne
    Yijia Cui
    Adam Darr
    Leart Doko
    Sarah Dubnik
    Stephen Ellis
    Rinat Gatyatullin
    Alexander Glyde
    Shelley Goldberg
    Eric Gratta
    Spencer Gray
    Joseph Hagner
    Corey Hoffman
    Adam Jaworski
    Adnan Khan
    Charles Kiorpes
    Andrew Lucas
    Aditya Mahadevan
    Julian Manfredi
    Peter Mash
    William McKibbin
    Edwin Mellett
    David Neiman
    John Phillips
    Joel Roggeman
    Justin Rushin
    Adam Schwab
    Lauren Thompson
    Frank Wolverton
    Megan Yates
    Jiayan Zhang
    Sheridan Zivanovich

    For 2015-2016, Joel Roggeman was chosen by the faculty as the outstanding undergraduate student for his academic excellence and in his participation in extracurricular activities that support the CS Department. Joel has a CS GPA of 4.0, and overall GPA of 3.967, and has received 6 A+ grades in CS courses. In addition to his strong academics, Joel is a math minor, has done research in collaboration with Dr. Alex Labrinidis, is a peer tutor in the CS Resource Center, and is the Computer Science Club business manager. Please join the CS Department in congratulating all of these students for their successes!

  • Pitt Computer Science to host WiCStart Program!

    Are you a woman coming to Pitt? Are you unsure of what to study? Do you want to know more about computer science? Sign up for WiCStart! WiCStart takes place the week before fall classes begin, and is designed to introduce incoming undeclared women to computer science in a no-pressure environment. WiCStart students will be permitted to move into their residence halls one week early. They will get a broad overview of various topics in computer science and hear stories, advice, and technical information from upperclassmen and professional women in industry. Lunch will be served daily. Throughout the week, students will learn about such topics as basic hardware and software concepts, programming, big data, and artificial intelligence. They will also learn about the benefits of being a CS student at Pitt and graduating with a CS degree. Finally, they will be given the chance to connect with other technical women. There are no costs for attending WiCStart. In addition to an early move-in date and free lunch, we’ll provide all necessary materials and equipment. Please email wicstart@cs.pitt.edu if you are interested in learning more.

    Are you a woman coming to Pitt? Are you unsure of what to study? Do you want to know more about computer science? Sign up for WiCStart!
    WiCStart takes place the week before fall classes begin, and is designed to introduce incoming undeclared women to computer science in a no-pressure environment.
    WiCStart students will be permitted to move into their residence halls one week early. They will get a broad overview of various topics in computer science and hear stories, advice, and technical information from upperclassmen and professional women in industry. Lunch will be served daily.

    Throughout the week, students will learn about such topics as basic hardware and software concepts, programming, big data, and artificial intelligence. They will also learn about the benefits of being a CS student at Pitt and graduating with a CS degree. Finally, they will be given the chance to connect with other technical women.

    There are no costs for attending WiCStart. In addition to an early move-in date and free lunch, we’ll provide all necessary materials and equipment.

    Please email wicstart@cs.pitt.edu if you are interested in learning more.

  • Pitt CS Welcomes TLI Participants

    The Department of Computer Science's Technology Leadership Initiative kicked off its summer program by welcoming 35 middle school girls to Sennott Square for Tech Divaz, a week full of technology and fun. Shelley Goldberg and Sabrina Aravena, the instructors for Tech Divaz, planned an exciting and innovative curriculum that focuses on introducing the girls to the field of computer science through activities encompassing everything the discipline has to offer, from hardware to software and everything in between. At the end of the week, we are looking forward to welcoming friends and family to the department and seeing the projects the students have put together! High School Academy follows Tech Divaz and gives students in grades 9-12 a two-week crash course in computer science and allows them a glimpse into life at the University of Pittsburgh and potential career paths as a computer science major.

    The Department of Computer Science's Technology Leadership Initiative kicked off its summer program by welcoming 35 middle school girls to Sennott Square for Tech Divaz, a week full of technology and fun. Shelley Goldberg and Sabrina Aravena, the instructors for Tech Divaz, planned an exciting and innovative curriculum that focuses on introducing the girls to the field of computer science through activities encompassing everything the discipline has to offer, from hardware to software and everything in between. At the end of the week, we are looking forward to welcoming friends and family to the department and seeing the projects the students have put together!
    High School Academy follows Tech Divaz and gives students in grades 9-12 a two-week crash course in computer science and allows them a glimpse into life at the University of Pittsburgh and potential career paths as a computer science major.

  • Pitt CS Students Ritwik Gupta and Laurence Putterman Win Red Bull's Hack the Hits!

    Pitt Computer Science students Laurence Putterman and Ritwik Gupta, along with Tiffany Jiang from Carnegie Mellon, were recently one of 5 teams around the nation picked to compete in Red Bull’s Hack the Hits hackathon in San Francisco this past weekend. Their team won first place where they created a MIDI controller that mimics the experience of playing a string instrument with some additions. Over the course of 24 hours, each of the 5 teams (from schools such as Stanford and UC Berkeley) tried to create an expressive, playable instrument that could be used in a live or studio setting. Using four touch sensitive “thinpot” (thin potentiometer) sensors connected to an Arduino and some cardboard, they recreated the general shape of a guitar, where the thinpot sensors took the place of strings. This enabled the player to expressively slide their notes just like a string instrument player. In addition, a Leap Motion attached to the body of the instrument allowed players to modulate effects by gesturing in front of the instrument with their hands. The thinpot sensors send their output to the Arduino, which relays the information over a serial connection. Max for Live, a powerful visual programming environment specifically designed for interfacing with Ableton Live (audio software), receives this data, separates the data according to sensor, and transforms those values into MIDI. Each sensor outputs to its own MIDI channel, allowing the user a great deal of flexibility with regards to how they would like the instrument to sound. They were featured in Forbes, follow the link for the article http://goo.gl/RR5G8M Congratulations to Ritwik and Laurence!!!

    Pitt Computer Science students Laurence Putterman and Ritwik Gupta, along with Tiffany Jiang from Carnegie Mellon, were recently one of 5 teams around the nation picked to compete in Red Bull’s Hack the Hits hackathon in San Francisco this past weekend. Their team won first place where they created a MIDI controller that mimics the experience of playing a string instrument with some additions. Over the course of 24 hours, each of the 5 teams (from schools such as Stanford and UC Berkeley) tried to create an expressive, playable instrument that could be used in a live or studio setting. Using four touch sensitive “thinpot” (thin potentiometer) sensors connected to an Arduino and some cardboard, they recreated the general shape of a guitar, where the thinpot sensors took the place of strings. This enabled the player to expressively slide their notes just like a string instrument player. In addition, a Leap Motion attached to the body of the instrument allowed players to modulate effects by gesturing in front of the instrument with their hands. The thinpot sensors send their output to the Arduino, which relays the information over a serial connection. Max for Live, a powerful visual programming environment specifically designed for interfacing with Ableton Live (audio software), receives this data, separates the data according to sensor, and transforms those values into MIDI. Each sensor outputs to its own MIDI channel, allowing the user a great deal of flexibility with regards to how they would like the instrument to sound. They were featured in Forbes, follow the link for the article http://goo.gl/RR5G8M Congratulations to Ritwik and Laurence!!!

  • Pitt Computer Science Supports NCWIT Aspirations in Computing by offering scholarships to NCWIT Winners!

    The National Center for Women & Information Technology (NCWIT) is a non-profit change leader network of more than 650 universities, companies, non-profits, and government organizations nationwide working to increase women’s meaningful participation in computing. The Department of Computer Science is a proud NCWIT Academic Alliance Member. The NCWIT Award for Aspirations in Computing honors young women at the high-school level for their computing-related achievements and interests. Awardees are selected for their computing and IT aptitude, leadership ability, academic history, and plans for post-secondary education. Offers both a national and local award competition. The Department of Computer Science offers a $5,000 scholarship for NCWIT Aspirations in Computing Winners! The award ceremony was held on April, 2nd, 2016!

    The National Center for Women & Information Technology (NCWIT) is a non-profit change leader network of more than 650 universities, companies, non-profits, and government organizations nationwide working to increase women’s meaningful participation in computing. The Department of Computer Science is a proud NCWIT Academic Alliance Member.
    The NCWIT Award for Aspirations in Computing honors young women at the high-school level for their computing-related achievements and interests. Awardees are selected for their computing and IT aptitude, leadership ability, academic history, and plans for post-secondary education. Offers both a national and local award competition.
    The Department of Computer Science offers a $5,000 scholarship for NCWIT Aspirations in Computing Winners! The award ceremony was held on April, 2nd, 2016!

  • Red Bull Hack the Hits Selects Pitt CS Students Ritwik Gupta and Laurence Putterman to Compete!!

    Pitt Computer Science students Ritwik Gupta and Laurence Putterman are part of one of only 7 teams chosen around the nation to compete in Red Bull's musical hackathon called Hack the Hits this weekend in San Francisco, California! Learn more about the hackathon and their team at http://redbullhackthehits.com! They are really excited to represent Pitt CS at the hackathon!! Wish them Luck!

    Pitt Computer Science students Ritwik Gupta and Laurence Putterman are part of one of only 7 teams chosen around the nation to compete in Red Bull's musical hackathon called Hack the Hits this weekend in San Francisco, California! Learn more about the hackathon and their team at http://redbullhackthehits.com! They are really excited to represent Pitt CS at the hackathon!! Wish them Luck!

  • Pitt CS Welcomes TLI Participants

    The Department of Computer Science's Technology Leadership Initiative kicked off its summer program by welcoming 35 middle school girls to Sennott Square for Tech Divaz, a week full of technology and fun. Shelley Goldberg and Sabrina Aravena, the instructors for Tech Divaz, planned an exciting and innovative curriculum that focuses on introducing the girls to the field of computer science through activities encompassing everything the discipline has to offer, from hardware to software and everything in between. At the end of the week, we are looking forward to welcoming friends and family to the department and seeing the projects the students have put together! High School Academy follows Tech Divaz and gives students in grades 9-12 a two-week crash course in computer science and allows them a glimpse into life at the University of Pittsburgh and potential career paths as a computer science major.

    The Department of Computer Science's Technology Leadership Initiative kicked off its summer program by welcoming 35 middle school girls to Sennott Square for Tech Divaz, a week full of technology and fun. Shelley Goldberg and Sabrina Aravena, the instructors for Tech Divaz, planned an exciting and innovative curriculum that focuses on introducing the girls to the field of computer science through activities encompassing everything the discipline has to offer, from hardware to software and everything in between. At the end of the week, we are looking forward to welcoming friends and family to the department and seeing the projects the students have put together!
    High School Academy follows Tech Divaz and gives students in grades 9-12 a two-week crash course in computer science and allows them a glimpse into life at the University of Pittsburgh and potential career paths as a computer science major.

  • Pitt CS Startup Receiving Local Attention

    CS seniors Natalie Boehm and Robbie McKinstry, along with two other Pitt students, have created software to assist in grading computer science projects. They named their software Alligrader, and recently competed in the Blast Furnace demo event held at the William Pitt Union. Alligrader is a software intended to help improve the accuracy and efficiency of grading computer science projects, a task that is time-consuming for professors and TAs. Though they didn't win the startup competition, they do hope to market their product to department chairs and are looking to partner with other accelerators. Read the full Post-Gazette article here

    CS seniors Natalie Boehm and Robbie McKinstry, along with two other Pitt students, have created software to assist in grading computer science projects. They named their software Alligrader, and recently competed in the Blast Furnace demo event held at the William Pitt Union. Alligrader is a software intended to help improve the accuracy and efficiency of grading computer science projects, a task that is time-consuming for professors and TAs. Though they didn't win the startup competition, they do hope to market their product to department chairs and are looking to partner with other accelerators. Read the full Post-Gazette article here

  • PhD student Huy Nguyen Wins Best Student Paper Award

    Huy Nguyen, a sixth year PhD student at the University of Pittsburgh under the advising of Dr. Diane Litman was recently awarded "Best Student Paper" at the 29th International Florida Artificial Intelligence Research Society conference. Congratulations!!

    Huy Nguyen, a sixth year PhD student at the University of Pittsburgh under the advising of Dr. Diane Litman was recently awarded "Best Student Paper" at the 29th International Florida Artificial Intelligence Research Society conference. Congratulations!!

  • Valued Staff Member Russell A. Howard II Passes Away

    It is with a heavy heart that we share the news of long time staff member Russell "Russ" Howard's passing. He received his BS in Computer Science and MS in Information Science from the University of Pittsburgh. He worked for the Department of Computer Science for over 20 years as a valued and beloved member of the technical staff. He contributed to the CS Department in countless ways, and was an important part of the CS Department staff. He was well liked by all and he will be deeply missed. We will remember him always for his devotion to the Department and his sincere kindness to everyone he met. http://www.cicholski-zidekfuneralhome.com/notices/Russell-HowardII

    It is with a heavy heart that we share the news of long time staff member Russell "Russ" Howard's passing. He received his BS in Computer Science and MS in Information Science from the University of Pittsburgh. He worked for the Department of Computer Science for over 20 years as a valued and beloved member of the technical staff. He contributed to the CS Department in countless ways, and was an important part of the CS Department staff. He was well liked by all and he will be deeply missed. We will remember him always for his devotion to the Department and his sincere kindness to everyone he met. http://www.cicholski-zidekfuneralhome.com/notices/Russell-HowardII

  • Pitt Computer Science Supports NCWIT Aspirations in Computing by offering scholarships to NCWIT Winners!

    The National Center for Women & Information Technology (NCWIT) is a non-profit change leader network of more than 650 universities, companies, non-profits, and government organizations nationwide working to increase women’s meaningful participation in computing. The Department of Computer Science is a proud NCWIT Academic Alliance Member. The NCWIT Award for Aspirations in Computing honors young women at the high-school level for their computing-related achievements and interests. Awardees are selected for their computing and IT aptitude, leadership ability, academic history, and plans for post-secondary education. Offers both a national and local award competition. The Department of Computer Science offers a $5,000 scholarship for NCWIT Aspirations in Computing Winners! The award ceremony was held on April, 2nd, 2016!

    The National Center for Women & Information Technology (NCWIT) is a non-profit change leader network of more than 650 universities, companies, non-profits, and government organizations nationwide working to increase women’s meaningful participation in computing. The Department of Computer Science is a proud NCWIT Academic Alliance Member.
    The NCWIT Award for Aspirations in Computing honors young women at the high-school level for their computing-related achievements and interests. Awardees are selected for their computing and IT aptitude, leadership ability, academic history, and plans for post-secondary education. Offers both a national and local award competition.
    The Department of Computer Science offers a $5,000 scholarship for NCWIT Aspirations in Computing Winners! The award ceremony was held on April, 2nd, 2016!

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