ADVANCED TECHNICS IN COMPUTER PROGRAMMING
| Title | ΠΡΟΧΩΡΗΜΕΝΑ ΘΕΜΑΤΑ ΠΡΟΓΡΑΜΜΑΤΙΣΜΟΥ Η/Υ / ADVANCED TECHNICS IN COMPUTER PROGRAMMING |
| Code | 0472 |
| Faculty | Sciences |
| School | Mathematics |
| Cycle / Level | 1st / Undergraduate |
| Teaching Period | Spring |
| Common | No |
| Status | Active |
| Course ID | 600018969 |
Programme of Study: UPS of School of Mathematics (2014-today)
Registered students: 154
| Orientation | Attendance Type | Semester | Year | ECTS |
|---|---|---|---|---|
| Core | Elective Courses belonging to the selected specialization | Spring | - | 5.5 |
| Academic Year | 2020 – 2021 |
| Class Period | Spring |
| Instructors from Other Categories |
|
| Weekly Hours | 3 |
| Class ID | 600166702
|
Mode of Delivery
- Face to face
Digital Course Content
- e-Study Guide https://qa.auth.gr/en/class/1/600166702
Language of Instruction
- Greek (Instruction, Examination)
Prerequisites
Required Courses
- 0430 Introduction to Computer Programming
- 0430 Introduction to Computer Programming
Learning Outcomes
• Leaning of advanced programming techniques. Specifically, on libraries’ development, files, and objected-oriented programming.
• Problem solving of mathematical problems using a programming language supporting object-oriented programming.
General Competences
- Apply knowledge in practice
- Retrieve, analyse and synthesise data and information, with the use of necessary technologies
- Adapt to new situations
- Work autonomously
- Work in teams
- Work in an interdisciplinary team
- Design and manage projects
- Be critical and self-critical
Course Content (Syllabus)
Development of libraries. Classes and objects. Pointers and lists. Inheritance. Exception handling. Exception classes. Files.
Educational Material Types
- Slide presentations
- Book
Use of Information and Communication Technologies
Use of ICT
- Use of ICT in Course Teaching
- Use of ICT in Laboratory Teaching
Course Organization
| Activities | Workload | ECTS | Individual | Teamwork | Erasmus |
|---|---|---|---|---|---|
| Lectures | 39 | 1.3 | |||
| Laboratory Work | 39 | 1.3 | |||
| Reading Assigment | 69 | 2.3 | |||
| Exams | 3 | 0.1 | |||
| Total | 150 | 5 |
Student Assessment
Description
The final score becomes by evaluation of two exams during the semester or a final exam.
Student Assessment methods
- Written Assignment (Summative)
- Written Exam with Problem Solving (Summative)
- Labortatory Assignment (Summative)
Bibliography
Course Bibliography (Eudoxus)
• Επίλυση Προβλημάτων με τη χρήση C++ του W. Savitch. Εκδόσεις Τζιόλα
• Το βιβλίο της Python των Νικόλαου Σαμαρά, Κωνσταντίνου Τσιλπίδη. Εκδόσεις Κριτική.
• Εισαγωγή στο Προγραμματισμό Υπολογιστών με τη Python του Σπύρου Πανέτσου. Εκδόσεις Tζιόλα.
Additional bibliography for study
• T. H. Cormen, C.E. Leiserson, R.L. Rivest, and C. Stein, Introduction to Algorithm”, MIT Press (2nd edition) 2001.
• David Harel, Yishai Feldman, Algorithmics, The Spirit of Computing, Addison-Wesley (3rd edition) 2004.
• Walter Savitch, Problem Solving with C++, Addison-Wesley (7th edition) 2009.
• Bjarne Stroustrup, Η Γλώσσα Προγραμματισμού C++, Εκδόσεις Κλειδάριθμος 1999.
Last Update
22-01-2020
