Mobile Game Development in Computer Science Curriculum
Stan Kurkovsky is a Professor of Computer Science at Central Connecticut State University. His research interests are in the areas of mobile and pervasive computing, software engineering, and computer science education. He has published over 70 peer-reviewed conference papers and journal articles. Dr. Kurkovsky has been serving as the principal investigator on a number of NSF and industry grants with a total funding in excess of two million dollars. He is currently serving as the PI on an NSF TUES/CCLI grant «Using Mobile Game Development to Improve Student Learning and Satisfaction in Introductory Computer Science Courses,» which is directly related to this talk.
Speaker Bios
Stan Kurkovsky is a Professor of Computer Science at Central Connecticut State University. His research interests are in the areas of mobile and pervasive computing, software engineering, and computer science education. He has published over 70 peer-reviewed conference papers and journal articles. Dr. Kurkovsky has been serving as the principal investigator on a number of NSF and industry grants with a total funding in excess of two million dollars. He is currently serving as the PI on an NSF TUES/CCLI grant «Using Mobile Game Development to Improve Student Learning and Satisfaction in Introductory Computer Science Courses,» which is directly related to this talk.
- Séries:
- Microsoft Research Talks
- Date:
- Haut-parleurs:
- Stan Kurkovsky
- Affiliation:
- Central Connecticut State University
-
-
Jeff Running
-
-
Taille: Microsoft Research Talks
-
Decoding the Human Brain – A Neurosurgeon’s Experience
Speakers:- Pascal Zinn,
- Ivan Tashev
-
-
-
-
Galea: The Bridge Between Mixed Reality and Neurotechnology
Speakers:- Eva Esteban,
- Conor Russomanno
-
Current and Future Application of BCIs
Speakers:- Christoph Guger
-
Challenges in Evolving a Successful Database Product (SQL Server) to a Cloud Service (SQL Azure)
Speakers:- Hanuma Kodavalla,
- Phil Bernstein
-
Improving text prediction accuracy using neurophysiology
Speakers:- Sophia Mehdizadeh
-
-
DIABLo: a Deep Individual-Agnostic Binaural Localizer
Speakers:- Shoken Kaneko
-
-
Recent Efforts Towards Efficient And Scalable Neural Waveform Coding
Speakers:- Kai Zhen
-
-
Audio-based Toxic Language Detection
Speakers:- Midia Yousefi
-
-
From SqueezeNet to SqueezeBERT: Developing Efficient Deep Neural Networks
Speakers:- Sujeeth Bharadwaj
-
Hope Speech and Help Speech: Surfacing Positivity Amidst Hate
Speakers:- Monojit Choudhury
-
-
-
-
-
'F' to 'A' on the N.Y. Regents Science Exams: An Overview of the Aristo Project
Speakers:- Peter Clark
-
Checkpointing the Un-checkpointable: the Split-Process Approach for MPI and Formal Verification
Speakers:- Gene Cooperman
-
Learning Structured Models for Safe Robot Control
Speakers:- Ashish Kapoor
-