COURSE DETAIL
COURSE DETAIL
This course examines a range of standard electrical and electronic devices, basic circuit construction methods and electrical measurement techniques. It covers operation and selection of electrical and electronic devices used in various electronic circuits; common electronic circuit realizations to meet the most commonly required signal processing and conditioning applications; programmable digital circuits and microprocessor programming; circuit design and simulation tools; printed circuit board layout, circuit assembly, and soldering techniques; test and Measurement equipment and methods; and managing design issues and requirements.
COURSE DETAIL
This course examines selected network protocols relevant to the World Wide Web (e.g., HTTP, DNS, IP); World Wide Web; technologies for programming the Web (e.g, HTML, XML, style sheets, PHP, JavaScript, Node.js.; other topics of current interest (AJAX, HTML5, web services, cloud computing).
COURSE DETAIL
COURSE DETAIL
Focusing on recent developments in computational communication science (CCS), this class primarily emphasizes the interplay of “communication science perspectives” and “computational approaches” of statistical/analytic techniques. The course examines the concepts and approaches behind computational social science techniques and their relevance to communication research, it covers various elements of computational communication science (CCS) research methodology, and critically evaluates and synthesizes interdisciplinary CCS research.
Prerequisites: A basic understanding of R statistical language and social science statistics
COURSE DETAIL
The course addresses the following topics: AOI: Automatic Optical Inspection, Computer Vision, Digital Image Processing, and Digital Camera.
COURSE DETAIL
This course examines the applications of artificial intelligence, through its various paradigms, in the solution of business-related problems. Topics include: data mining; artificial neuron networks; text mining; web mining; knowledge-based systems; programming languages for AI; ethics and AI.
Prerequisites: Big Data and Business Analytics
COURSE DETAIL
COURSE DETAIL
This course examines major concepts in the theory of computation. Topics covered include deterministic and nondeterministic finite state automata, regular expressions, context-free languages, pumping lemma and push-down automata, equivalence of context-free grammars and push-down automata, Turing machines, decidable languages, reducibility, computational complexity, and NP-completeness. Textbooks: INTRODUCTION TO THE THEORY OF COMPUTATION by M. Sipser, INTRODUCTION TO AUTOMATA THEORY, LANGUAGES, AND COMPUTATION by J. Hopcroft, J. Ullman. Assessment: homework, midterm exam, final exam.
COURSE DETAIL
Pagination
- Previous page
- Page 76
- Next page