Course Catalog

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Course Catalog

DATA SCIENCE: METHODS AND CONTEXT (CS1060)

This project-based course introduces data science by looking at the whole cycle of activities involved in data science projects. Students will learn how to think about problems with rigor and creativity, ethically applying data science skills to address those problems. The course project will address the theoretical, mathematical and computational challenges involved in data science.

TOPICS IN COMPUTER SCIENCE (CS1091)

Topics vary by semester

FIRSTBRIDGE IN COMPUTER SCIENCE (CS1099)

Firstbridge courses are offered to degree seeking freshmen and registration is done via webform in pre-arrival checklist.

TOPICS IN COMPUTER SCIENCE (CS1910)

Topics vary by semester

TOPICS IN COMPUTER SCIENCE (CS1910)

Topics vary by semester

INTRO TO COMPUTER PROGRAMMING II (CS2040)

This is the second part of the foundation course for the Information and Communication Technologies degree program. Successful students will have a thorough knowledge of the computer language Java, the systematic development of programs, problem-solving and a knowledge of some of the fundamental algorithms of computer science. Essential concepts include inheritance, polymorphism, and error-handling, using exceptions.

SECURITY, PRIVACY, & TRUST (CS2055)

The course provides an understanding on the need for security, privacy and trust in ICT. Legal and ethical aspects will be covered. Technology for security, privacy and trust will be presented at a functional level. The following topics will be covered: security threats and solutions, intellectual property rights, anonymity and identity, business stakeholders privacy obligations, privacy in today applications (search engine, social networks, location oriented services, RFId-based applications), privacy enhancing technologies, privacy policy enforcement, trusted computing.

DATA SCIENCE II: THEORY AND PRACTICE (CS2065)

The 21st century has seen a big increase in the amount of data which is made accessible. Social media such as Facebook, online shops such as Amazon and many others, are all gathering raw data. But what can be done about this data? Data Science covers tools and methods around the extraction of knowledge from data. Such tools cover its collection, storing, processing and analysis. In this course we will learn about several of the most important tools in the above flow and will apply them to real-world examples.

LANGUAGES & DATA STRUCTURES (CS2071)

Uses predefined classes and class libraries to introduce standard data structures (stacks, queues, sets, trees, and graphs). Studies and implements algorithms for string-searching, sorting, trees and graph traversals. Introduces algorithm complexity analysis and big-Oh (O,,) notation.

COMPUTER NETWORKS (CS3015)

The course explains through an architecture perspective the principles and practice of computer networking, with emphasis on the Internet and on pervasive computing. The following topics will be covered: structure and components of distributed systems, layered ISO/OSI architectures, protocols, local Area Networks, wide area networking issues including routing, flow control. Some advanced topics will also be covered such as pervasive computing, ad-hoc networks, security and privacy.