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Course module: 822186-B-6
822186-B-6
Formal Analysis A
Course info
Course module822186-B-6
Credits (ECTS)6
CategoryBA (Bachelor)
Course typeCourse
Language of instructionEnglish
Offered byTilburg University; Tilburg School of Humanities and Digital Sciences; TSH: Department Cognitive Science and AI; TSH: Department Cognitive Science and AI;
Is part of
B Communication and Information Sciences
B Communication and Information Sciences (Spc.Cog.Sc & AI)
B Cognitive Science and Artificial Intelligence
PM CIW: DSBG, CSAI
PM Data Science and Society
Contact persondr. M. Alimardani
Lecturer(s)
Coordinator course
dr. M. Alimardani
Other course modules lecturer
Lecturer
dr. M. Alimardani
Other course modules lecturer
Lecturer
dr. M. Postma
Other course modules lecturer
Academic year2018
Starting block
SM 2
Course mode
Full-time
RemarksThis information is not up to date. Check the Course Catalog 2019 or select the course via “Register”.
Registration openfrom 14/01/2019 up to and including 31/07/2019
Aims
The general objective of this course is to review a number of mathematical concepts introduced in high school and also to develop and solidigy basic arithmetic and algebra skills that are relevant for the study of social sciences and Artificial Intelligence. The course takes a practical, applied approach to math in order to increase student appreciation of the material. Real world cases include examples from Facebook use, smartphone dependency, terrorism, environmental changes, market equilibrium and financial decisions.

After completing the course, students are able to tackle real life finite math problems by using mathematical models based on company data.

Learning Objectives:
  1. Have basic knowledge of funcions and their charactristics.
  2. Understand principal formulas and terms pertaining to the use of straight lines, curves, and data fitting.
  3. Have basic knowledge of systems of linear equations and matrices.
  4. Understand and apply various laws for sets.
  5. Have the ability to compute probabilities of the occurrence of certain events.
  6. Draw conclusions and make forecasts using various mathematical tools for inductive statistics.
Content
The material covered in the course will include the following topics:
  • Functions and their charactristis
  • Straight lines and linear functions
  • Systems of linear equations and matrices
  • Sets and counting
  • Probability
  • Probability distribution and statistics
The course is centered around the textbook Finite Mathematics for the Managerial, Life, and Social Sciences by S.T. Tan (both edition 11 and 12 can be used).

Evaluation

In order to pass the course, students need to pass both a midterm exam (50%) and a final exam (50%). Given that the two components cover different course material, there is no compensation possible.
Next to that, students will work individually on a total of 10 take-home assignments. The assignments are obligatory and need to be handed in by the deadline. They do not count for the final grade but they serve as a prerequisite for taking the final test (at least 8 out of 10 should be submitted). After hand in, students will be provided with an answer key to check their answers for self-evaluation.

Compulsory Reading
  1. Soo T. Tan, Finite Mathematics for the Managerial, Life, and Social Sciences, Cengage Learning, 2018, 2015, 2012, ISBN 978-1-33740578-2.
Timetable information
822186-B-6|Formal Analysis A
Written test opportunities
Omschrijving/DescriptionToets/TestBlok/BlockGelegenheid/OpportunityDatum/Date
Written test opportunities (HIST)
Omschrijving/DescriptionToets/TestBlok/BlockGelegenheid/OpportunityDatum/Date
Midterm (50%) / Midterm (50%)MIDTERM_01SM 2125-03-2019
Schriftelijk (50%) / Written (50%)EXAM_01SM 2107-06-2019
Midterm (50%) / Midterm (50%)MIDTERM_01SM 2228-06-2019
Schriftelijk (50%) / Written (50%)EXAM_01SM 2204-07-2019
Required materials
-
Recommended materials
-
Tests
Written (50%)

Midterm (50%)

Final Grade

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Kies de Nederlandse taal