Special Topics in Theoretical Computer Science (ΠΛ9)

Graduate Courses Outlines - Department of Mathematics

General

School	School of Science
Academic Unit	Department of Mathematics
Level of Studies	Graduate
Course Code	ΠΛ9
Semester	1
Course Title	Special Topics in Theoretical Computer Science
Independent Teaching Activities	Lectures (Weekly Teaching Hours: 3, Credits: 7.5)
Course Type	Elective
Prerequisite Courses	641 - Design and Analysis of Algorithms
Language of Instruction and Examinations	Greek
Is the Course Offered to Erasmus Students	Yes (in English)
Course Website (URL)	See eCourse, the Learning Management System maintained by the University of Ioannina.

Learning Outcomes

Learning outcomes	Theoretical Computer Science is the foundation of information science and its main objective is to analyze and solve computational problems that are considered to be the most difficult and most fascinating in the history of mathematics. In addition to the purely mathematical aspect, Theoretical Computer Science offers new and effective techniques for dealing with practical computational problems that arise in all areas of scientific activity. The aim of the course is to specialize in areas covered by Theoretical Computer Science, such as Cryptography, Parallel Algorithms, Advanced Scientific Calculations, Approximation Algorithms, Semantics of Programming Languages, Computational Geometry, etc. The students of the course are expected to have advanced theoretical and practical skills in a wide range of subjects of vital importance for the Theoretical Computer Science and Mathematics. It will provide students with the opportunity to gain a strong background while exploring applications of Theoretical Computer Science in other areas such as economics, physics and biology. The course includes individual exercises, summary writing and presentation of relevant research papers. The course material will be adapted and specialized according to the necessary developments and requirements.
General Competences	Search for, analysis and synthesis of data and information, with the use of the necessary technology Working independently Team work Project planning and management

Syllabus

The main objective of the course is the specialization in areas covered by Theoretical Computer Science such as:

Cryptography
Parallel Algorithms
Advanced Scientific Calculations
Approximation Algorithms
Programming Languages Semantics
Computational Geometry
Algorithm Engineering

The course matterial will be adapted and specialized according to the necessary developments and requirements.

Teaching and Learning Methods - Evaluation

Delivery

Lectures

Use of Information and Communications Technology

Use of projector and interactive board during lectures.

Teaching Methods

Activity	Semester Workload
Lectures	39
Working independently	78
Exercises - Homework	70.5
Course total	187.5

Student Performance Evaluation

Written exercises (50%)
Essay / report (20%)
Public presentation (30%)

Attached Bibliography

Ζάχος, Ε., Παγουρτζής, Α., Σούλιου, Θ., Θεμελίωση επιστήμης υπολογιστών. Αποθετήριο «Κάλλιπος», 2015.
Christos Papadimitriou, Computational Complexity, 1998.
J. Kleinberg and E. Tardos, Σχεδιασμός Αλγορίθμων, Εκδόσεις Κλειδάριθμος, 2008.
T. Cormen, C. Leiserson, R. Rivest, and C. Stein, Εισαγωγή στους Αλγορίθμους, Πανεπιστημιακές Εκδόσεις Κρήτης, 2012.