MSc CS Course Descriptions
MSC CS COURSE LISTING
Core Modules [Back to Content]
Advanced Topics in Computer Architecture
This courses explores design principles for multiprocessor and RISC machines, comparison between RISC and CISC architectures, multiprocessor interconnection networks, memory organizations, parallel algorithms for sorting, image processing, FFT and various applications, data flow computers and VLST computations.
Advanced Networking
This course focuses on computer networking concepts and technologies; architectures and protocols, LANS, Internet working, and applications.
Advanced Topics in Databases
This course builds on basic database concepts. The topics covered in this module include physical database design, advanced SQL, data warehousing, data mining, XML data and schemas, database administration and data centre administration.
Advanced Topics in Operating Systems
The class covers advanced topics in operating systems design and implementation such as parallel and distributed operating systems. Important topics include structuring, multithreading, naming, security, remote procedure call, networks, concurrency, transactions, parallel computing, shared memory, message passing, and scale.
Advanced Topics in Software Engineering
This course presents modern software engineering techniques and examines the software life cycle, including software specification, design, implementation, testing, and maintenance. Object-oriented design methods and practices, their application to the development of computer-based systems, CAD systems.
Information Society
This course focuses on the interaction that information technology has on society and vice-versa, specifically tailored towards the characteristics of this issue in Albania. Current state of IT practices; forthcoming projects and their impact on businesses; related legal practices will be explored.
Strategy and Management
This course focuses on strategy and management issues with the obvious application to IT industry as a whole. Topics strategic aspects of information systems and technology, impact of IT on organizations, project management, team management.
Research Methodology
This course introduces the student to the research methods used in Compute Science. Topics include techniques and conventions in research methods, pointers towards paper writing, evaluation and presentation of results.
Specialization Courses [Back to Content]
Database Management Concentration
Database Tools
This course deals with the various commonly used database packages namely Oracle, SQL Server and MySQL. Apart from providing an overview to these tools, this course also explores the use of SQL and PL/SQL within database packages.
Data Warehousing
This course examines the technical and management aspects of building a data warehouse. This course explores the architecture, infrastructure, processes, data quality, database design, and data analysis involved in building the data warehouse for business analysis. Management issues include business goals, tool selection, project management, personnel skills, training, and user requirements. Topics include dimensional data modeling, extraction/transformation/load processes, data quality problems, data marts, operational data stores (ODS), staging databases, and online analytic processing (OLAP).
Data Mining
This course provides a comprehensive introduction to data mining, various data mining techniques, and some successful applications. This course will emphasize on modern approaches such as OLAP, decision tree learning, Bayesian learning, clustering, and association learning. This course will also examine real world applications with data mining algorithms and tools.
Database Administration
This course is intended for those who are responsible for managing, maintaining and supporting Oracle database. This course covers concepts including creating and managing database users, implementing a security system to control activities, defining a backup strategy and performing recovery in the event of a system failure and tuning the database to optimize performance.
Networking & Security Concentration
Network Security & Cryptography
This course focuses on principles and practice of network security. Topics include authentication services, e-mail security, IP security, Web security, security systems and threats, wireless security, and security applications. Typical topics include encryption mechanisms, data compression algorithms, caching, online algorithms, number theoretical algorithms relevant in cryptology.
System Administration
This course offers an in-depth exposition of the Client Server Technology, different types of Server based operating systems, technical and management aspects of the operating system Installation and configuration, Directory Services, User management, Group policies, DNS, DHCP, Exchange Server, the students are trained and better equipped for future need of IT industry or enabling them to kick start their career as a well groomed system administrators.
Network Management
This course explores principles and practices of network management including architectures, protocols and tools. Communications systems and media (including people); bandwidth limitations; channel sharing and grouping; data formatting; error detection and correction; protocols; networks.
Wireless Communication
This course explores principles and practices of wireless networks and mobile communications. Wireless transmission and media access technologies, study of a typical cellular system, satellite networks, wireless LANs, wireless ATM, mobile IP, mobility and TCP, and the wireless application protocol (WAP).
Software Engineering Concentration
Enterprise Applications
This course focuses on the design of scalable n-tier enterprise applications using Java EE technology. It provides detailed coverage of Web Tier (Servlets, JSP), Business Tier (Enterprise Java Beans, Web Services) and the interface with Information Tier.
Enterprise Architectures
This course aims to build on Enterprise Applications course while focusing this time on the architectural issues of enterprise systems. The students will evaluate different technologies with the final purpose of identifying the best combination for their applications. Emphasis will be put on distributed systems and advanced concepts such as application servers, scalability, reliability, security, distributed transactions etc.
Software Quality Management
This course introduces concepts, metrics, and models in software quality management. Since quality process creates quality products, software quality improvements derive from the design of software development processes. The course will cover methods and tools for achieving software quality assurance at various levels of a software system including at the module, subsystem, and system levels. It presents a framework for software quality assurance and discusses individual components in the framework such as planning, reviews, testing, and configuration management. It also discusses metrics and models for software quality as a product, in process, and in maintenance. Students will develop an understanding of software quality and approaches to assure software quality.
.NET Technology
This graduate course aims to cover basics of the .NET frame work apart from providing an introduction to the three commonly used languages of the .NET family of languages namely VB.NET, C#.NET and ASP.NET. This course would also explore consuming and deploying of XML Web Services using Microsoft Visual Studio .NET.
Other Option Courses
Artificial Intelligence
This course focuses on standard topics in Artificial Intelligence: general problem solving methods, search methods, production systems games and heuristics, knowledge representation, Artificial Intelligence languages. It also stresses the AI techniques for problems such as data mining and text mining.
Theory of Computation
The course introduces the student to the concept of the computer as an abstract automaton to accept, generate or transduce languages. It also stresses context-free languages and pushdown automata follows, definition of Turing-machines and their treatment as theoretical model for computers, Church-Turing thesis and the notion of algorithms with respect to Turing machines, the course concludes with the treatment of decidability and NP-completeness.
