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Topics in Applied Mathematics (5 cr)

Code: TE00CE13-3014

General information


Enrollment
30.05.2024 - 15.09.2024
Registration for the implementation has ended.
Timing
02.09.2024 - 18.12.2024
Implementation has ended.
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
Degree programmes
Degree Programme in Information and Communications Technology
Teachers
Tiina Tolmunen
COS Opettaja
COS1 Virtuaalihenkilö1
Groups
PINFOK23A
PINFOK23A
PINFOS23C
PINFOS23C
Course
TE00CE13

Realization has 20 reservations. Total duration of reservations is 42 h 30 min.

Time Topic Location
Wed 04.09.2024 time 08:00 - 10:00
(2 h 0 min)
Lecture, Topics in Applied Mathematics TE00CE13-3014
ICT_C1039_Sigma SIGMA
Mon 09.09.2024 time 12:00 - 14:00
(2 h 0 min)
Lecture, Topics in Applied Mathematics TE00CE13-3014
ICT_C1042_Myy MYY
Mon 16.09.2024 time 12:00 - 14:00
(2 h 0 min)
Lecture, Topics in Applied Mathematics TE00CE13-3014
ICT_C1042_Myy MYY
Mon 23.09.2024 time 12:00 - 14:00
(2 h 0 min)
Lecture, Topics in Applied Mathematics TE00CE13-3014
ICT_C1035_Delta DELTA
Tue 24.09.2024 time 12:00 - 14:00
(2 h 0 min)
Optional homework session, Topics in Applied Mathematics TE00CE13-3014
ICT_B1033 Teoriatila
Mon 30.09.2024 time 12:00 - 14:00
(2 h 0 min)
Lecture, Topics in Applied Mathematics TE00CE13-3014
ICT_C1035_Delta DELTA
Mon 07.10.2024 time 14:00 - 17:00
(3 h 0 min)
Exam Part 1, Topics in Applied Mathematics TE00CE13-3014
ICT_B1032_Beta BETA
Mon 21.10.2024 time 08:00 - 10:00
(2 h 0 min)
Re-exam Part 1, Topics in Applied Mathematics TE00CE13-3014
ICT_C1039_Sigma SIGMA
Wed 23.10.2024 time 10:00 - 12:00
(2 h 0 min)
Lecture, Topics in Applied Mathematics TE00CE13-3014
ICT_B1041_Omega OMEGA
Tue 29.10.2024 time 08:00 - 10:00
(2 h 0 min)
Lecture, Topics in Applied Mathematics TE00CE13-3014
LEM_A312 Oppimistila BYOD
Wed 30.10.2024 time 10:00 - 12:00
(2 h 0 min)
Lecture, Topics in Applied Mathematics TE00CE13-3014
ICT_C2033_2034 Teoriatila muunto
Mon 04.11.2024 time 12:00 - 14:00
(2 h 0 min)
Lecture, Topics in Applied Mathematics TE00CE13-3014
ICT_C1035_Delta DELTA
Wed 06.11.2024 time 10:00 - 12:00
(2 h 0 min)
Lecture, Topics in Applied Mathematics TE00CE13-3014
ICT_C1039_Sigma SIGMA
Mon 11.11.2024 time 12:00 - 14:00
(2 h 0 min)
Lecture, Topics in Applied Mathematics TE00CE13-3014
ICT_C1035_Delta DELTA
Wed 13.11.2024 time 10:00 - 12:00
(2 h 0 min)
Lecture, Topics in Applied Mathematics TE00CE13-3014
ICT_C1035_Delta DELTA
Mon 18.11.2024 time 12:00 - 14:00
(2 h 0 min)
Lecture, Topics in Applied Mathematics TE00CE13-3014
ICT_C1027_Lambda LAMBDA
Wed 20.11.2024 time 10:00 - 12:00
(2 h 0 min)
Lecture, Topics in Applied Mathematics TE00CE13-3014
EDU_2002 Ivar muunto byod
Wed 27.11.2024 time 10:00 - 13:00
(3 h 0 min)
Exam Part 2, Topics in Applied Mathematics TE00CE13-3014
ICT_B1047_Alpha ALPHA
Wed 04.12.2024 time 10:00 - 12:00
(2 h 0 min)
Re-exam Part 2, Topics in Applied Mathematics TE00CE13-3014
ICT_C1039_Sigma SIGMA
Mon 09.12.2024 time 10:00 - 12:30
(2 h 30 min)
Re-exam Part 1 and 2, Topics in Applied Mathematics TE00CE13-3014
ICT_C1027_Lambda LAMBDA
Changes to reservations may be possible.

Evaluation scale

H-5

Content scheduling

Fall semester 2024, according to the schedule.
Part 1, weeks 36-41
Part 2, weeks 43-50

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.

Evaluation 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.

Failed (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

Further information

Itslearning

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