CENG310 ALGORITHMS AND DATA STRUCTURES WITH PYTHON
| Course Code: | 5710310 |
| METU Credit (Theoretical-Laboratory hours/week): | 3 (3.00 - 0.00) |
| ECTS Credit: | 5.0 |
| Department: | Computer Engineering |
| Language of Instruction: | English |
| Level of Study: | Undergraduate |
| Course Coordinator: | Prof.Dr. MEHMET VOLKAN ATALAY, Assoc.Prof.Dr. EMRE AKBAŞ |
| Offered Semester: | Fall and Spring Semesters. |
Course Objectives
What you should expect as outcomes of taking this course:
- You will acquire intermediate level of knowledge about the most common abstractions for data collections.
- You will develop skills to develop and use data structures more efficiently.
- You will understand sorting and searching algorithms that are essential in computer sciences, and reflect on their performances from theoretical point of view.
- You will be able to utilize data structures and algorithms to solve more complex problems.
Course Content
Introduction to Algorithms, Space and Time Considerations, Python built-in types, Linked lists, Stacks, Queues, Recursion. Trees, Sorting, Searching, Implementations in Python, Introduction to graphs. (Offered to non-CENG students only)
Course Learning Outcomes
Program Outcomes Matrix
| Contribution | |||||
| # | Program Outcomes | No | Yes | ||
| 1 | An ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics | ✔ | |||
| 2 | An ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors | ✔ | |||
| 3 | An ability to communicate effectively with a range of audiences | ✔ | |||
| 4 | An ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts | ✔ | |||
| 5 | An ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives | ✔ | |||
| 6 | An ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions | ✔ | |||
| 7 | An ability to acquire and apply new knowledge as needed, using appropriate learning strategies | ✔ | |||