Topics in Applied Mathematics (5 cr)
Code: TE00CE13-3014
General information
Enrollment
30.05.2024 - 15.09.2024
Timing
02.09.2024 - 18.12.2024
Number of ECTS credits allocated
5 op
Mode of delivery
Contact teaching
Unit
Engineering and Business
Campus
Kupittaa Campus
Teaching languages
- English
Degree programmes
- Degree Programme in Information and Communications Technology
Teachers
- Tiina Tolmunen
- COS Opettaja
- COS1 Virtuaalihenkilö1
Groups
-
PINFOS23CPINFOS23C
-
PINFOK23APINFOK23A
- 04.09.2024 08:00 - 10:00, Lecture, Topics in Applied Mathematics TE00CE13-3014
- 09.09.2024 12:00 - 14:00, Lecture, Topics in Applied Mathematics TE00CE13-3014
- 16.09.2024 12:00 - 14:00, Lecture, Topics in Applied Mathematics TE00CE13-3014
- 23.09.2024 12:00 - 14:00, Lecture, Topics in Applied Mathematics TE00CE13-3014
- 24.09.2024 12:00 - 14:00, Optional homework session, Topics in Applied Mathematics TE00CE13-3014
- 30.09.2024 12:00 - 14:00, Lecture, Topics in Applied Mathematics TE00CE13-3014
- 07.10.2024 14:00 - 17:00, Exam Part 1, Topics in Applied Mathematics TE00CE13-3014
- 21.10.2024 08:00 - 10:00, Re-exam Part 1, Topics in Applied Mathematics TE00CE13-3014
- 23.10.2024 10:00 - 12:00, Lecture, Topics in Applied Mathematics TE00CE13-3014
- 29.10.2024 08:00 - 10:00, Lecture, Topics in Applied Mathematics TE00CE13-3014
- 30.10.2024 10:00 - 12:00, Lecture, Topics in Applied Mathematics TE00CE13-3014
- 04.11.2024 12:00 - 14:00, Lecture, Topics in Applied Mathematics TE00CE13-3014
- 06.11.2024 10:00 - 12:00, Lecture, Topics in Applied Mathematics TE00CE13-3014
- 11.11.2024 12:00 - 14:00, Lecture, Topics in Applied Mathematics TE00CE13-3014
- 13.11.2024 10:00 - 12:00, Lecture, Topics in Applied Mathematics TE00CE13-3014
- 18.11.2024 12:00 - 14:00, Lecture, Topics in Applied Mathematics TE00CE13-3014
- 20.11.2024 10:00 - 12:00, Lecture, Topics in Applied Mathematics TE00CE13-3014
- 27.11.2024 10:00 - 13:00, Exam Part 2, Topics in Applied Mathematics TE00CE13-3014
- 04.12.2024 10:00 - 12:00, Re-exam Part 2, Topics in Applied Mathematics TE00CE13-3014
- 09.12.2024 10:00 - 12:30, Re-exam Part 1 and 2, Topics in Applied Mathematics TE00CE13-3014
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
Lecture notes, homework and MATLAB exercises will be published in Itslearning.
We use MATLAB, for which TUAS has a campus licence. You can download it to your own device for free.
Taking the self-study course MATLAB Basics for ICT is highly recommended prior to the start of Sequences and Series part (Part 1).
Teaching methods
Part 1, Sequences and series:
lectures, MATLAB exercises/homework, self-study, exam
Part 2, Logic, combinatorics and number theory:
lectures and demonstrations, self-study, homework, exam
Exam schedules
The midterm exam for Part 1 is in week 41, retake in week 43.
The midterm exam for Part 2 is in week 48, retake in week 49.
The final retake exam for both parts is in week 50.
Exact dates and times in the schedule.
Note. Homework and exercises must be submitted in time, there is no way to complement or "retake" them later.
Student workload
Lessons 30 h
Exams + preparing for them 30 h
Self-study (homework, installing and learning Matlab etc.) 75 h so approx. 6 h per week.
Content scheduling
Fall semester 2024, according to the schedule.
Part 1, weeks 36-41
Part 2, weeks 43-50
Further information
Itslearning
Evaluation scale
H-5
Assessment methods and criteria
Achieve at least 40% of the points in both Midterm exams or retakes.
Completing at least 25% of the MATLAB exercises in Part 1 is mandatory to pass the course.
A minimum of 80% attendance is mandatory for Part 1 lectures during weeks 36-40.
Additional points from homework will improve your grade.
Assessment criteria, fail (0)
Less than 40% of the points in one or both of the Midterm exams or retakes.
More than 20% (unauthorized) non-attendance from Part 1 lectures.
Less than 25% of the MATLAB exercises submitted.
Student has not demonstrated achieving the learning objectives of the course. They recognize and can use only few of the concepts of the course topics, and show no skills to apply them.
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