Design and Analysis of Algorithms (MAE581)
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Undergraduate Courses Outlines - Department of Mathematics
General
School |
School of Science |
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Academic Unit |
Department of Mathematics |
Level of Studies |
Undergraduate |
Course Code |
MAE641 |
Semester |
6 |
Course Title |
Design and Analysis of Algorithms |
Independent Teaching Activities |
Lectures, laboratory exercises, tutorials, quiz (Weekly Teaching Hours: 3, Credits: 6) |
Course Type |
Special Background |
Prerequisite Courses | - |
Language of Instruction and Examinations |
Greek |
Is the Course Offered to Erasmus Students |
Yes |
Course Website (URL) | See eCourse, the Learning Management System maintained by the University of Ioannina. |
Learning Outcomes
Learning outcomes |
This course aims at introducing to students the philosophy of fundamental algorithmic background and techniques. After successfully passing this course the students will be able to:
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General Competences |
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Syllabus
- Fundamental concepts of design and analysis of algorithms
- Analysis of algorithms, Asymptotical growing functions
- Typical running times and data structures (lists, arrays, queues, stacks)
- Stable matching, correctness, priority queue
- «Divide & Conquer» technique, sorting, recursive formulations
- Graph algorithms: BFS, DFS, connectedness, topological ordering
- Greedy algorithms: interval scheduling & shortest paths (Dijkstra)
- Minimum spanning trees(Prim & Kruskal algorithms), Huffman coding
- Dynamic programming: maximum flow, interval scheduling, and Knapsack
- Further Topics: computational complexity and ΝΡ-completeness.
Teaching and Learning Methods - Evaluation
Delivery |
Lectures | ||||||||||
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Use of Information and Communications Technology |
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Teaching Methods |
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Student Performance Evaluation |
Final written examination (70%)
Exercises (30%)
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Attached Bibliography
See the official Eudoxus site or the local repository of Eudoxus lists per academic year, which is maintained by the Department of Mathematics. Books and other resources, not provided by Eudoxus: