Chris Solomon. Samuel R.
Erdogan Madenci. John Maris. Brian R. Machine Vision Algorithms and Applications. Carsten Steger. Stefan Wicki. Multimedia maths E-boek. Ivo De Pauw. A Physicist's Guide to Mathematica. Patrick T.
Essential Computer Animation fast. John Vince. Tadeusz Stolarski. Cesar Lopez. Charles Bell. Computer-Assisted and Robotic Endoscopy. Xiongbiao Luo. Digital Image Processing. Abhishak Yadav. Breast Imaging.
Anders Tingberg. Handbook of Biometric Anti-Spoofing. Point-Based Graphics. Markus Gross.
Introduction to Computer Graphics: Using Java 2D and 3D - PDF Free Download
Oge Marques. Autonomous Robotics and Deep Learning. Vishnu Nath. Leonid P Yaroslavsky.
CIS Course Descriptions
Multispectral Satellite Image Understanding. Kim L. Advanced Methods in Computer Graphics. Ramakrishnan Mukundan. Marina L. AI Advances in Artificial Intelligence. Byeong Ho Kang. Kamal I. Pattern Recognition and Image Analysis. Neural Information Processing. Sabri Arik. David Kirk. Antonio Javier Pons Rivero. Optimization Methods in Structural Design. Alan Rothwell.
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- Introduction to Computer Graphics : Using Java 2D and 3D eBook.
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Lenticular Imaging. Yitzhak Weissman. Biometric Recognition. Shiqi Yu. Akira Hirose. Kuang-Hua Chang. Sebastien Ourselin. Computer Science Courses. Relevance of computing to students and society will be emphasized. Students will learn the joy of programming a computer using a friendly, graphical language, and will discuss how computing empowers discovery and progress in other fields. This seminar will discuss the progress of computer graphics research over the last fifty years. This course fulfills the Quantitative Emphasis QE requirement. This class meets for five hours and includes an integrated lab.
CMPT Introduction to Data Structures 4 An exploration of data structures including stacks, queues, trees, and dictionaries, and a comparison of the algorithmic efficiencies based upon their implementations. Students will work through challenging, non-textbook activities that reinforce the computer science concepts that are keys to success in CMPT Examines how your programs interact with the compiler, operating system, the operating system, and hardware, enabling students to write software that is efficient, modular, and versatile.
Introduces the C programming language, the Linux operating system, and assembly programming. CMPT Artificial Intelligence 4 Introduces the principles and techniques of modern artificial intelligence, including problem solving paradigms and intelligent agents for solving real world problems. Topics include search techniques, games, machine learning, logic, and constraint satisfaction problems. The course also examines other topics such as alternative database models, relational algebra, and web application frameworks. Topics include software planning and design, scheduling, testing and reliability, and software maintenance.
A semester-long project is developed in a group setting. A RISC assembly language is used extensively.
Undergraduate Topics in Computer Science
CMPT Computer Security 4 An introduction to the fundamentals of computer security as it relates to several areas of computer science including networking, operating systems, and databases. Topics range from cryptography to less technical areas such as user policies and legal issues. Coverage includes procedural, functional, and interpreted languages. CMPT Compilers 4 Syntax analysis, semantics, code generation, optimization, and run time systems. Physical description 1 online resource xviii, pages : illustrations some color.
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