Topics in Applied Mathematics (5 cr)
Code: TE00CE13-3018
General information
- Enrollment
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30.05.2025 - 15.09.2025
Registration for introductions has not started yet.
- Timing
-
02.09.2025 - 19.12.2025
The implementation has not yet started.
- Number of ECTS credits allocated
- 5 cr
- Local portion
- 5 cr
- Mode of delivery
- Contact learning
- Unit
- Engineering and Business
- Campus
- Kupittaa Campus
- Teaching languages
- English
- Seats
- 40 - 80
- Degree programmes
- Degree Programme in Information and Communications Technology
- Teachers
- Hazem Al-Bermanei
- Groups
-
PINFOK24APINFOK24A
-
PINFOK24BPINFOK24B
-
PINFOS24CPINFOS24C
- Course
- TE00CE13
Evaluation scale
H-5
Content scheduling
Part 1:
• Fundamentals of Logic
• Combinatorics
• Number Theory
Part 2,
• Sequences
• Series
• Taylor & Fourier series
Objective
After completing the course the student can
- apply logical rules and notation
- compute and apply permutations and combinations
- apply the concepts and properties of divisibility and congruence
- process arithmetic and geometric sequences and sums
- calculate the sum of a converging infinite geometric series
- form Taylor polynomials and utilize them in numerical computation
- determine coefficients for Fourier-series expansions using mathematical computation tools
Content
- Fundamentals of logic
- Basics od number theory with applications
- Basics of combinatorics with applications
- Sequences and series
- Taylor series
- Fourier series
Materials
All course materials will be published in Itslearning.
We use MATLAB, for which TUAS has a campus license. You can download it to your own device for free or use MATLAB Online version.
Taking the self-study course MATLAB Basics for ICT is highly recommended prior to the start of Sequences and Series part (Part 2).
Teaching methods
Part 1, Logic, combinatorics and number theory:
lectures, homework, self-study, exam
Part 2, •:
lectures, MATLAB exercises, homework sessions, self-study, exam
Exam schedules
Assessment Schedule
Midterm Exam – Part 1: 28 October 2025
First Retake: 4 November 2025
Midterm Exam – Part 2: 16 December 2025
First Retake: (Date listed as 2025 — please verify and update if needed)
Final Retake Exam (for both parts): 13 January 2026
Exact times for all exams will be published in the official schedule.
Important:
Homework and exercises must be submitted by the specified deadlines. Late submissions will not be accepted, and there are no options to make up or retake missed tasks.
Student workload
Part 1:
Intro 1h
Lectures 9*2h
Exam 2h
Self-study (homework, preparing for exams etc.) ~46h.
Part 2:
Lectures 5*2h
Homework sessions 5*2h (Mandatory attendance)
Exam 2h
Self-study (homework, installing and learning Matlab, preparing for exams etc.) ~46h.
Evaluation methods and criteria
Achieve at least 40% of the points in both Midterm exams or retakes.
Submit at least 25% of the MATLAB exercises in Part 2 is mandatory to pass the course.
A minimum of 80% attendance is mandatory for Part 2 homework sessions during weeks 10-14.
Additional points from homework will improve your grade.
Failed (0)
Less than 40% of the points in one or both of the Midterm exams or retakes.
Less than 25% of MATLAB exercises have been submitted.
Unauthorized non-attendance exceeds 20% of Part 2 homework sessions.
The student has not demonstrated sufficient achievement of the course learning objectives. They recognize and apply only a limited number of course concepts and lack the necessary skills to implement them effectively.
Additionally, the course will be failed if any instance of academic misconduct is detected. The first occurrence—whether misconduct or an attempt—will result in the rejection of the affected exam or assignment. A second offense will lead to failure of the entire course.
Assessment criteria, satisfactory (1-2)
Student has demonstrated having achieved the learning objectives of the course on satisfactory level. They recognize and can to some extent use most of the concepts of the course topics.
Assessment criteria, good (3-4)
Student has demonstrated having achieved the learning objectives of the course well.
They recognize and can use most of the concepts of the course topics, and are able to apply them on various study and work contexts.
Assessment criteria, excellent (5)
Student has demonstrated having achieved the learning objectives of the course on excellent level. They master the concepts of the course topics, and are able to fluently apply them on study and work contexts.
Qualifications
Previous mathematics courses of ICT engineering curriculum (or equivalent skills):
Introduction to Engineering Mathematics
Calculus
Further information
Itslearning and email
Homework sessions in Part 2 of the course are mandatory to help students learn MATLAB independently and confidently.