Semester 1
Compulsory courses |
||||
|---|---|---|---|---|
| Lesson Code | Title | H(T) | H(L) | ECTS |
| 321-0120 | English Language 1 | 3 | 0 | 5 |
| 321-1500 | Discrete Mathematics I | 3 | 2 | 5 |
| 321-1200 | Structured Programming | 3 | 4 | 5 |
| 321-1400 | Introduction to Computer Science and Communications | 3 | 0 | 5 |
| 321-2000 | Logic Design | 3 | 2 | 5 |
| 321-1100 | Calculus | 3 | 2 | 5 |
| 321-2050 | Physics | 3 | 2 | 5 |
Semester 2
Compulsory courses |
||||
|---|---|---|---|---|
| Lesson Code | Title | H(T) | H(L) | ECTS |
| 321-0130 | English Language 2 | 3 | 0 | 5 |
| 321-2100 | Object-Oriented Programming I | 3 | 2 | 5 |
| 321-2450 | Discrete Mathematics II | 3 | 2 | 5 |
| 321-3300 | Computer Communications | 3 | 2 | 5 |
| 321-2550 | Circuit Theory | 3 | 2 | 5 |
| 321-3150 | Linear Algebra | 3 | 2 | 5 |
| 321-2400 | Probability and Statistics | 3 | 2 | 5 |
Semester 3
Compulsory courses |
||||
|---|---|---|---|---|
| Lesson Code | Title | H(T) | H(L) | ECTS |
| 321-0140 | English Language 3 | 3 | 0 | 5 |
| 321-3650 | Object-Oriented Programming II | 3 | 2 | 5 |
| 321-3350 | Computer Architecture | 3 | 2 | 5 |
| 321-3000 | Data Structures | 3 | 2 | 5 |
| 321-5500 | Signals and Systems | 3 | 2 | 5 |
| 321-3750 | Stochastic Procedures | 3 | 2 | 5 |
| 321-8950 | Digital Innovation & Entrepreneurship | 3 | 0 | 5 |
Semester 4
Compulsory courses |
||||
|---|---|---|---|---|
| Lesson Code | Title | H(T) | H(L) | ECTS |
| 321-4200 | Algorithms and Complexity | 3 | 2 | 5 |
| 321-3100 | Information Systems Analysis and Design II | 3 | 2 | 5 |
| 321-3200 | Databases I | 3 | 2 | 5 |
| 321-7900 | Electronics | 3 | 2 | 5 |
| 321-4100 | Operating Systems | 3 | 2 | 5 |
| 321-4120 | Advanced Topics of Programming Languages | 3 | 2 | 5 |
Semester 5
Compulsory courses |
||||
|---|---|---|---|---|
| Lesson Code | Title | H(T) | H(L) | ECTS |
| 321-3700 | Databases II | 3 | 2 | 5 |
| 321-6450 | Computer Networks | 3 | 2 | 5 |
| 321-6700 | Theory of Computation | 3 | 0 | 5 |
| 321-2300 | Operation of Business & Information Systems | 3 | 2 | 5 |
| 321-4000 | Software Engineering | 4 | 0 | 5 |
| 321-3450 | Telecommunications | 3 | 2 | 5 |
Semester 6
Compulsory courses |
||||
|---|---|---|---|---|
| Lesson Code | Title | H(T) | H(L) | ECTS |
| 321-3400 | Information and Communication Systems Security | 3 | 2 | 5 |
| 321-7950 | Distributed Systems | 3 | 2 | 5 |
| 321-5200 | Information Law | 3 | 0 | 5 |
| 321-6500 | Information Systems Management | 3 | 0 | 5 |
| 321-88100 | Internet Programming | 3 | 2 | 5 |
| 321-3600 | Artificial Intelligence | 3 | 2 | 5 |
Semester 7
Cycle 1: Information and Communication Systems Security and Privacy |
||||
|---|---|---|---|---|
| Lesson Code | Title | H(T) | H(L) | ECTS |
| 321-9700 | Computer Network Security and Privacy Enhancing Technologies | 3 | 0 | 5 |
| 321-5750 | Privacy and Data Protection Law | 3 | 0 | 5 |
Cycle 2: Information Systems and Entrepreneurship |
||||
|---|---|---|---|---|
| Lesson Code | Title | H(T) | H(L) | ECTS |
| 321-8100 | Project Management | 3 | 2 | 5 |
| 321-7650 | and Tools | 3 | 0 | 5 |
| 321-5150 | Information Systems Analysis and Design Methodologies | 3 | 0 | 5 |
Cycle 3: Computer and Telecommunication Technologies |
||||
|---|---|---|---|---|
| Lesson Code | Title | H(T) | H(L) | ECTS |
| 321-7050 | Digital Systems Design | 3 | 2 | 5 |
| 321-10300 | Digital Communications | 3 | 2 | 5 |
Cycle 4: Communication Systems and Networks |
||||
|---|---|---|---|---|
| Lesson Code | Title | H(T) | H(L) | ECTS |
| 321-8350 | Network Management | 3 | 0 | 5 |
| 321-7000 | Performance Evaluation and Simulation of Computer Systems an | 3 | 2 | 5 |
Cycle 5: Information Management and Intelligent Systems |
||||
|---|---|---|---|---|
| Lesson Code | Title | H(T) | H(L) | ECTS |
| 321-7750 | Introduction to Robotics | 3 | 2 | 5 |
| 321-6100 | Natural Language Processing | 3 | 0 | 5 |
Cycle 6: Computer Science Foundations |
||||
|---|---|---|---|---|
| Lesson Code | Title | H(T) | H(L) | ECTS |
| 321-99000 | Numerical Analysis | 3 | 0 | 5 |
| 321-8600 | Information Theory | 3 | 0 | 5 |
Semester 8
Cycle 1: Information and Communication Systems Security and Privacy |
||||
|---|---|---|---|---|
| Lesson Code | Title | H(T) | H(L) | ECTS |
| 321-10750 | Mobile and Wireless Networks Security | 3 | 0 | 5 |
| 321-6000 | Security on Physical Layer | 3 | 0 | 5 |
Cycle 2: Information Systems and Entrepreneurship |
||||
|---|---|---|---|---|
| Lesson Code | Title | H(T) | H(L) | ECTS |
| 321-5600 | Human - Computer Interaction and Web Applications | 3 | 2 | 5 |
| 321-8500 | Decision Support Systems | 3 | 2 | 5 |
Cycle 3: Computer and Telecommunication Technologies |
||||
|---|---|---|---|---|
| Lesson Code | Title | H(T) | H(L) | ECTS |
| 321-7800 | Wireless Communications | 3 | 2 | 5 |
| 321-8750 | Introduction to VLSI | 3 | 2 | 5 |
| 321-7850 | Microprocessors | 3 | 2 | 5 |
| 321-9350 | Digital Image Processing | 3 | 2 | 5 |
Cycle 4: Communication Systems and Networks |
||||
|---|---|---|---|---|
| Lesson Code | Title | H(T) | H(L) | ECTS |
| 321-7250 | Mobile Communication Networks | 3 | 2 | 5 |
| 321-6250 | Internet Protocols and Architectures | 3 | 0 | 5 |
| 321-11000 | Cloud Technologies | 3 | 2 | 5 |
Cycle 5: Information Management and Intelligent Systems |
||||
|---|---|---|---|---|
| Lesson Code | Title | H(T) | H(L) | ECTS |
| 321-10200 | Information Retrieval | 3 | 0 | 5 |
| 321-9250 | Data Mining | 3 | 2 | 5 |
| 321-6050 | Intelligent Recommender Systems | 3 | 0 | 5 |
| 321-6600 | Computer Vision | 3 | 2 | 5 |
Cycle 6: Computer Science Foundations |
||||
|---|---|---|---|---|
| Lesson Code | Title | H(T) | H(L) | ECTS |
| 321-8000 | Game Theory | 3 | 0 | 5 |
| 321-9850 | Mathematical Modeling | 3 | 0 | 5 |
| 321-9000 | Forecasting Techniques | 3 | 0 | 5 |
Optional courses |
||||
|---|---|---|---|---|
| Lesson Code | Title | H(T) | H(L) | ECTS |
| 321-2630 | 3 | 2 | 5 | |
| 321-7600 | 3 | 0 | 5 | |
Semester 9
Cycle 1: Information and Communication Systems Security and Privacy |
||||
|---|---|---|---|---|
| Lesson Code | Title | H(T) | H(L) | ECTS |
| 321-99100 | Regulatory and Social Issues in Information Society | 3 | 0 | 5 |
| 321-8050 | Cryptography | 3 | 0 | 5 |
Cycle 2: Information Systems and Entrepreneurship |
||||
|---|---|---|---|---|
| Lesson Code | Title | H(T) | H(L) | ECTS |
| 321-5400 | Information Systems Strategy and Investment | 3 | 0 | 5 |
| 321-8200 | E-Commerce Technologies and Applications | 3 | 0 | 5 |
Cycle 3: Computer and Telecommunication Technologies |
||||
|---|---|---|---|---|
| Lesson Code | Title | H(T) | H(L) | ECTS |
| 321-3250 | Internet of Things | 3 | 2 | 5 |
| 321-10650 | Satellite Communications | 3 | 2 | 5 |
| 321-8650 | Optoelectronics | 3 | 2 | 5 |
| 321-6550 | Multimedia | 3 | 2 | 5 |
Cycle 4: Communication Systems and Networks |
||||
|---|---|---|---|---|
| Lesson Code | Title | H(T) | H(L) | ECTS |
| 321-9400 | Sensor Networks | 3 | 2 | 5 |
| 321-9120 | Design and Development of Mobile Computing applications | 3 | 2 | 5 |
Cycle 5: Information Management and Intelligent Systems |
||||
|---|---|---|---|---|
| Lesson Code | Title | H(T) | H(L) | ECTS |
| 321-9450 | Applied Topics in Data Structures and Databases | 3 | 0 | 5 |
| 321-7400 | Knowledge Engineering and Knowledge Systems | 3 | 0 | 5 |
Cycle 6: Computer Science Foundations |
||||
|---|---|---|---|---|
| Lesson Code | Title | H(T) | H(L) | ECTS |
| 321-10000 | Algorithms and Combinatorial Optimization | 3 | 0 | 5 |
Optional courses |
||||
|---|---|---|---|---|
| Lesson Code | Title | H(T) | H(L) | ECTS |
| 321-2600 | 3 | 0 | 5 | |
Semester 10
Compulsory courses |
||||
|---|---|---|---|---|
| Lesson Code | Title | H(T) | H(L) | ECTS |
| 321-7100 | Degree Thesis | 30 | ||
| Title | Numerical Analysis |
|---|---|
| Lesson Code | 321-99000 |
| Semester | 7 |
| ECTS | 5 |
| Hours (Theory) | 3 |
| Hours (Lab) | 0 |
| Faculty | Kofinas Georgios |
Syllabus
Errors, Computer Arithmetic, Error method and algorithm, Linear Systems, Method of Gauss, Gauss-Jordan, factorization LU, Method Choleski, Iterative method of Jacobi, Gauss, Gauss-seidel, SOR, Nonlinear equations and systems, partition method, fixed point, Newton-Raphson, secant, Interpolation and Approximation of Lagrange, Newton, Hermite, functions, spline, Numerical Differentiation and Integration type Lagrange, Taylor, Richardson, rule rectangle, trapezoid, Simpson, type Newton-Cotes, Numerical solution of ordinary differential equations, partial differential equations.
Learning Outcomes
The purpose of this course is to provide a complete knowledge of numerical methods for solving problems that appear in Science and Technology.
More precisely the aim of this course is the comprehension of the basic numerical methods for approximating solutions of various mathematical problems using a computer.
Emphasis is also given on the theoretical/mathematical background of these methods for their full comprehension.
After the successful completion of this course, the student should be able to:
- understand the floating point arithmetic and floating point numbers.
- understand, calculate and estimate the error that occurs from approximate solutions of problems.
- approximate solutions of systems of linear and non-linear equations, using basic arithmetic methods.
- approximate solutions of non-linear equations, using basic arithmetic methods.
- describe the behavior of functions in one variable using suitable interpolation polynomials.
- approximate the derivative and the integral functions in one variable, using arithmetic differentiation and integration methods.
- apply basic arithmetic methods for solving simple differential equations.
Prerequisite Courses
Not required.
Basic Textbooks
- Michael N. Vrahatis, Numerical Analysis
- Class lectures
Additional References
- Introduction to Numerical Analysis, Akrivis G. D., Dougalis B. A.
- Numerical Analysis, Nikolaos Misirlis.
- Numerical Analysis, Sofianos Georgios S., Tychopoulos Evangelos Th.
Teaching and Learning Methods
Ατομικές εργασίες, τελική γραπτή εξέταση.
| Activity | Semester workload |
|---|---|
| Lectures | 39 hours |
| Personal study | 83 hours |
| Final exams | 3 hours |
| Course total | 125 hours (5 ECTS) |
Student Performance Evaluation
The course evaluation derives from:
- 3 compulsory exercises during the semester: counting 30% in the final grade.
- final exam: counting 70% in the final grade.
Final Grade = (0.3*M.V. Exercises) + (0.7*Final Exam)
One must have: Final Grade >= 5
Language of Instruction and Examinations
Greek, English (for Erasmus students)
Delivery Mode
Face-to-face.