TIE-20106 Data Structures and Algorithms, 5 cr
Person responsible
Matti Rintala
Lessons
| Implementation | Period | Person responsible | Requirements |
| TIE-20106 2018-01 | 3 - 4 |
Matti Rintala |
The course grade is formed from points, which are earned from weekly excercises, lectures, lecture essays, online visualization assignments, and programming assignments. A minimum number of points have to be earned from each part. In addition to this, students have to pass the exam. |
Learning Outcomes
After completing the course, the student knows the commonly used algorithm design techniques. The student can implement basic data structures independently, and knows how to apply related algorithms to them. The student is able to analyze the asymptotic complexity of simple programs and knows how to use library implementations to build more complex data structures.
Content
| Content | Core content | Complementary knowledge | Specialist knowledge |
| 1. | Asymptotic efficiency and complexity notations. | Understanding the logarithmic complexity of divide and conquer algorithms | More advanced complexity analysis |
| 2. | Sorting algorithms. The difference between quadratic and O(NlogN) sorting. | Different algorithms | |
| 3. | Lists, hash tables and the binary search tree | Red-Black tree | similar data structures not as widely used |
| 4. | Programming languages' library implementations. Choosing the best alternative. Using the suitable data structure. | ||
| 5. | Graphs. The basic idea of graph algorithms. | Breadth first search, depth first search, Dijkstra's algorithm. | Other graph algorithms: Prim and Kruskal and A*. |
| 6. | Algorithm design techniques: brute force, divide and conquer, transform and concuer, randomization | Greed | Dynamic programming |
Study material
| Type | Name | Author | ISBN | URL | Additional information | Examination material |
| Book | Introduction to Algorithms | Cormen, Leiserson, Rivest, Stein | 9780262033848 | No | ||
| Book | Introduction to the Desing & Analysis of Algorithms. 2nd ed. | Anany Levitin | 0321358287 | No | ||
| Lecture slides | Utilization of Data Structures | Yes |
Prerequisites
| Course | Mandatory/Advisable | Description |
| TIE-02207 Programming 2: Basics | Mandatory | |
| TIE-02408 Programming 3: Techniques | Advisable |
Additional information about prerequisites
Students are expected to be programming literate. Programming knowledge on C++ is required (level of knowledge should be comparable to course Basic course on Programming).
Correspondence of content
| Course | Corresponds course | Description |
| TIE-20106 Data Structures and Algorithms, 5 cr | TIE-20100 Data Structures and Algorithms, 5 cr | |
| TIE-20106 Data Structures and Algorithms, 5 cr | OHJ-2016 Utilization of Data Structures, 5 cr |