Math Fundamentals For Robotics
Computer Engineering
Faculty of Engineering
First Cycle (Bachelor's Degree)
| Course Unit Title | Course Unit Code | Type of Course Unit | Level of Course Unit | Year of Study | Semester | ECTS Credits |
|---|---|---|---|---|---|---|
| Math Fundamentals For Robotics | BLM321 | Elective | Bachelor's degree | 3 | Fall | 4 |
Name of Lecturer(s)
Assistant Prof. Dr. Alpaslan Burak İNNER
Learning Outcomes of the Course Unit
1) Describe the mobile robot systems and their components.
2) Describe basic problems related to mobile robot systems.
3) Howto solve the environmental perception problems.
4) Explain and use tools and utilities to develop software for the control of mobile robot systems
5) The path planning and navigation.
Program Competencies-Learning Outcomes Relation
| Program Competencies | |||||||||||||
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | ||
| Learning Outcomes | |||||||||||||
| 1 | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | |
| 2 | Middle | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | |
| 3 | Middle | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | |
| 4 | High | No relation | Low | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | |
| 5 | High | Middle | Low | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | |
Mode of Delivery
Face to Face
Prerequisites and Co-Requisites
None
Recommended Optional Programme Components
Not Required
Course Contents
General information and concepts about mobile robot systems, mobile robot kinematics, sensing tools and methods, mobile robot positioning methods, planning and navigation
Weekly Schedule
1) Computer Algebra Systems and Symbolic Computation2) Symbolic calculation with Matlab, Mathematica, Maple Software
3) Symbolic Calculation Programming
4) Solution of Linear Equations
5) Solution of Nonlinear Equations
6) Roots of Polynomials
7) Approximation by Orthogonal Functions (includes Fourier series)
8) Midterm
9) Integration of Ordinary Differential Equations
10) Calculus of Variations (with applications to Mechanics)
11) Probability and Stochastic Processes (Markov chains)
12) Probability and Stochastic Processes (Markov chains)
13) Computational Geometry
14) Computational Geometry
15) Differential Geometry
16) Final
Recommended or Required Reading
Planned Learning Activities and Teaching Methods
Assessment Methods and Criteria
Contribution of Semester Studies to Course Grade |
40% |
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Contribution of Final Examination to Course Grade |
60% |
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Total | 100% | |||||||||||
Language of Instruction
Turkish
Work Placement(s)
Not Required