Introduction to the Unified Modeling Language (UML): Class and object modeling, class diagrams, interactions diagrams (sequence, collaboration), use cases, activity diagrams, state modeling. Advanced object-oriented programming principles covering object-oriented data structures and their associated algorithms, such as lazy evaluation. Implementation of heaps, self-balancing trees, graphs, sorting, and generative recursion via objects. Applications of software engineering principles such as abstract decomposition, decoupling, and command passing to large- and small- scale component-framework systems. Multi-threaded event-driven applications. Prerequisite: CEI 123 - Object Oriented Methodology and Programming (C++).

Prerequisites

EEI 133 Object-oriented Methodology and Programming with C++

Presentation of advanced uni-processor architectures and parallel architectures such as multi-processors and multi-cores. Advanced pipelining; dynamic scheduling, Scoreboarding and Tomasulo’s algorithms, out-of-order execution, precise interrupt handling. Multiple instruction issue in superscalar processors. Data, control and structural hazards minimization. Branch predictors and branch history tables. Techniques for exploiting sub-word parallelism, instruction-level parallelism and thread-level parallelism. Static parallel instruction scheduling in VLIW architectures, loop unrolling and software pipelining. Advanced memory system organization, interleaved memory, multiple cache architectures, virtual memory, TLBs. Storage systems, and reliability with RAID storage systems. Cache coherence protocols in multi-processors and multi-core architectures. Basic networks and interconnection networks, on- and off-chip. The course may include a hands-on project using academic or industrial architecture simulators.

Prerequisites: 

EEI 233 Computer Organization

Students are divided up into small groups to develop (analyze, specify, design, program, and document) a real-world software application with a client organization coming from the local market. The aim of the course is to gain experience in the various phases of software development and in different aspects of group working. Special attention is given to Project Management activities, such as scheduling, time and resource management, production of reports and deliverables, etc. The group develops abilities to "pick up" and use new development tools and environments without formal training. The final product is a fully operational software system which is installed at the client site with execution of professional user acceptance testing and appropriate training.

Prerequisite:

CEI 324 - Software Engineering

This course is an introduction to Cryptography and Computer Security. Emphasis will be given on understanding the basic principles of computer security and cryptography, specifically aiming to teach students on how to design and implement secure systems. This course covers the following topics: Fundamentals of computer security and networks security, objectives and basic principles of cryptography. Vulnerabilities, threats and attacks. Principles of designing secure computing systems. Privacy and Anonymity. In particular, the course provides an introduction to Cryptography, Pseudo Random Functions, Hash functions, Message Authentication Codes (ΜΑCs) and Digital signatures. Digital certificates and Public Key Infrastructures (PKI), certificate transparency and certificate revocation. Symmetric-key cryptography and cryptographic algorithms (Block Ciphers, Stream Ciphers). Asymmetric-key cryptography, Elliptic curves cryptography. Zero-Knowledge Proofs. Key generation and key exchange techniques and cryptographic protocols. Furthermore, this course will introduce the basic categories of malware, such as Viruses, Worms, Trojan horses, Backdoors, Rootkits as well as a view into botnet architectures. Methods of infection and replication, polymorphism and stealth techniques. Antiviruses and detection techniques. The course also introduces the most common types of attacks, such as Buffer Overflows, SQL Injection, Cross-site scripting, Denial of Service attacks, Social engineering and Phishing attacks, ClickJacking etc. Finally, we will explore detection and prevention techniques, as well as protection mechanisms.

The course aims to provide an introduction to the basic principles of Graphics and provide all the knowledge needed to create and visualize 2D and 3D virtual worlds, starting with simple basic principles of Geometry.

Students shall be able to integrate the following knowledge:

Basic concepts of 2D and 3D space and geometrical elements (points, lines, curves, triangles and polygon triangulation, planets - including complex polygons, freeform surfaces), Neighborhood of points, polygons: Voronoi diagram and basics. Delaunay triangulation and basic properties, incremental algorithm. Complex point clouds (from object digitization) and modeling. Geometric shapes and object modeling structures. Platonic solid bodies and 3D object reconstruction and reproduction, Computer Aided Design / Computer Aided Manufacturing - CAD / CAM. Collapse data and archive it. Simple examples in various areas and applications with programming.

Graphic and geometrical problems in different areas of life give us a good example of the variety of applications: Architecture, Archeology, Medicine, Engineering, Robotics, Simulations, Geographic Information Systems (GIS), Cinema, Video Production, etc.

Course Content

1. Basic and introductory concepts of graphics

2. Geometric elements of 2D and 3D space (points, lines, curves, triangles and polygon triangulation, planes)

3. Transformations and 2D viewing (PC screens)

4. Basic forms of object modeling structures

5. Simulation

6. Analysis and design of various applications and specialized examples

7. Planning and quality control

8. Graphics and application standards in industry

9. Computer Aided Design / Computer Aided Manufacturing - CAD / CAM.

The need to store and process massive amounts of data has led to the evolution of existing database systems while a new breed of data processing systems has emerged. This course covers a spectrum of topics from core techniques in relational data management to highly-scalable data processing using parallel database systems and MapReduce. First, the course covers the basic principles in database query processing and optimization, including index structures, sort and join processing, query rewrites, and physical plan selection. Next, the course covers topics from parallel and distributed databases, including data partitioning and distributed join algorithms. Finally, the course covers scalable data processing systems such as MapReduce and NoSQL databases (column, document, and key-value stores). The course material will be drawn from textbooks as well as recent research literature. Prerequisite background: Basic database knowledge.

Prerequisites

CEI 325 Databases

The aim of the course is to introduce the basic principles of Computer Interaction Science (HSC) and its application in the design of computer systems interfaces. In particular, the importance of properly implementing HSC principles and how they affect the efficiency and effectiveness of computer systems interfaces is presented. Design methodologies and evaluation methods are explained to understand their role in design usability.

Upon successful completion of the course students shall be able to:

• Recognize capabilities and limitations in the design of computer interfaces for humans
• Understand the tools and techniques available to design interfaces for web and mobile platforms
• Apply Principles of Human Computer Interaction through design of computer systems interfaces.
• Evaluate existing interfaces against recognized principles of human computer design and interaction

Course Content

A Historical Review of the Science of Human Computer Interaction

Importance of proper computer system design

The human factor - memory, attention, communication models - capabilities and limitations

Input and output devices for human-computer interaction

Gestalt rules and their application to web and mobile interface design - use MockFlow to design low-fidelity prototypes

Usability components and its importance in evaluating interfaces

Low, intermediate and high-fidelity prototypes

LUCID design methodology

Evaluating interface design using Nielsen's heuristic rules

Evaluation methods: controlled experiments against field evaluation

Introduction to user personalization and modeling

The course covers an introduction to the field of production planning and monitoring, and product delivery. It investigates methods and algorithms for solving basic business problems related to production systems layout design, warehouse management, material planning, personnel staffing, production scheduling, and supply chain management. Following contemporary international practices, emphasis in given to qualitative analysis of the problems that are encountered within a supply chain – from the supply of raw materials to the production of the final products and services and their delivery to customers and end-users.

Το μάθημα εστιάζεται στον σχεδιασμό και χρονικό προγραμματισμό έργων με έμφαση στα έργα πληροφορικής. Οι φοιτητές διδάσκονται τις μεθοδολογίες, τις τεχνικές και τα αναγκαία εργαλεία για αποτελεσματική και αξιόπιστη διαχείριση έργων γενικά, αλλά και της διαχείρισης έργων πληροφορικής, ειδικότερα. Έμφαση δίδεται επίσης σε προηγμένα θέματα που αφορούν τη διαχείριση έργων με περιορισμούς πόρων. Η κρισιμότητα των περιορισμένων πόρων σε ένα έργο συζητείται διεξοδικά και αναλύεται τόσο πρακτικά όσο και θεωρητικά υπό την οπτική των επιστημονικών πεδίων της επιχειρησιακής έρευνας και της συνδυαστικής βελτιστοποίησης.

This subject constitutes an introduction into object-oriented programming with C++. It commences with discussions of the basic principles involved in object –oriented programming like for example the definition of an object, a class, inheritance, input and output streams, pointers, types vs. classes, operator overloading. The following topics are covered in greater depth: Classes including derived classes, messaging. Classes about input/output streams. Abstract datatypes. Pointers. Inheritance (including virtual methods, static definitions, multiple inheritance). Operator Overloading. General abstract types. Knowledge of C is a necessary pre-requisite.

Prerequisites

EEI 132 Introduction to Computing and Programming (C) 

Course Goals

Introduce students to the basic concepts of Computer Organization.

Expected Results

Students shall have an in-depth knowledge of basic computer organization and structure, microprocessor structure and computer memory, as well as identifying methodologies for improving processor performance.

Content

The course covers fundamental operational structures of uni-processor computer systems and their basic building blocks: arithmetic and logical unit, control unit (FSM-based), memory system, I/O system, datapath. It also covers binary number systems, one’s and two’s complement arithmetic, floating point arithmetic, overflow and underflow, addition, subtraction, division and multiplication using binary numbers. Presentation of the RISC Central Processing Unit (CPU) using the MIPS architecture as a reference. RISC Instruction Set Architecture (ISA). Assembly programming in MIPS. Pipelining, data, control and structural hazards. Interrupt and exception handling. Random-Access Memory (RAM), cache memory organization (direct-mapped and set-associative), and virtual memory. CPU performance measurement and enhancements involving branch prediction and assembly instruction re-ordering. Storage systems such as hard disks and optical media. The course includes a weekly programming laboratory session for hands-on practice using the MIPS ISA assembly language.