(Course schedule)
Line 20: Line 20:
 
|-
 
|-
 
|Lecture/Exercise
 
|Lecture/Exercise
|Wednesday
+
|Monday
|14:00 - 15:30
+
|12:20 - 13:50
|MS Teams: FMFI-Mathematics for Cognitive Science
+
|M112 / MS Teams: FMFI-Mathematics for Cognitive Science
 
|[https://sluzby.fmph.uniba.sk/ludia/slavickova1 Mária Slavíčková]
 
|[https://sluzby.fmph.uniba.sk/ludia/slavickova1 Mária Slavíčková]
 
|-
 
|-
 
|Exercise/Lecture
 
|Exercise/Lecture
|Wednesday
+
|Thursday
|15:45 - 17:15
+
|09:50 - 11:20
|MS Teams: FMFI-Mathematics for Cognitive Science
+
|M112 / MS Teams: FMFI-Mathematics for Cognitive Science
 
|[https://sluzby.fmph.uniba.sk/ludia/slavickova1 Mária Slavíčková]
 
|[https://sluzby.fmph.uniba.sk/ludia/slavickova1 Mária Slavíčková]
 
|}
 
|}
  
 
==How to join the course==
 
==How to join the course==
I'll use your e-mail addresses from the Academic Information System (AiS) and I add you to the course.  You should find an e-mail concerning the first meeting, please, accept it (no later than 21.9.2020, if not, first check the spam. If you'll not be successful, send me an e-mail). As a student at Comenius University, you have access to MS Office 365 for free. If you are a student on mobility without access to MS Office 365, you can join the lectures via the web.   
+
I'll add all students who sign up for this course in the AiS (Academic Information System). The MS Teams should send you a notification about it. The course will be held in hybrid form, which means: those who can attend it personally will be present in M112 (pavilion of Mathematics, 1st floor, close to the 1st staircase). Those, who cannot participate personally, can use the link in MS Teams. All materials will be in MS Teams (I'll explain it more in the 1st class).   
  
 
== Syllabus ==
 
== Syllabus ==
 
<ol>
 
<ol>
<li>Basics of logic and proving methods: propositional logic, predicate logic, the sets of numbers, proofs. </li>
 
 
<li>Basics of mathematical analysis: functions, differential calculus</li>
 
<li>Basics of mathematical analysis: functions, differential calculus</li>
<li>Basics of linear algebra: matrices and vectors, operations.Looking forward to meeting you in the lessons </li>
+
<li>Basics of linear algebra: matrices and vectors, operations </li>
 
<li>Basics of probability: likely and not likely, unconditional and conditional probability </li>
 
<li>Basics of probability: likely and not likely, unconditional and conditional probability </li>
 +
<li>Basics of propositional and predicate logic </li>
 
</ol>
 
</ol>
  
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====FINAL EXAM====
 
====FINAL EXAM====
 
*form: 90 minutes writing test
 
*form: 90 minutes writing test
*term: January, February 2021
+
*term: January, February 2022
 
*goal: course output   
 
*goal: course output   
 
*weight: 30%
 
*weight: 30%
  
  
<b>OVERALL GRADING:</b>  A > 90%, B > 80%, C> 70%, D > 60%, E > 52% points.
+
<b>OVERALL GRADING:</b>  A > 90%, B > 80%, C> 70%, D > 60%, E > 52%

Revision as of 14:36, 14 September 2021

Mathematics for Cognitive Science 2-IKVa-102

The lectures will provide students with the basics of propositional and predicate logic, linear algebra, mathematical analysis, and the probability that are important for the study of informatics and its role in (computational) cognitive science. At the same time, students will learn about mathematical culture, notation, way of thinking and expressing oneself.

Course schedule

Type Day Time Room Lecturer
Lecture/Exercise Monday 12:20 - 13:50 M112 / MS Teams: FMFI-Mathematics for Cognitive Science Mária Slavíčková
Exercise/Lecture Thursday 09:50 - 11:20 M112 / MS Teams: FMFI-Mathematics for Cognitive Science Mária Slavíčková

How to join the course

I'll add all students who sign up for this course in the AiS (Academic Information System). The MS Teams should send you a notification about it. The course will be held in hybrid form, which means: those who can attend it personally will be present in M112 (pavilion of Mathematics, 1st floor, close to the 1st staircase). Those, who cannot participate personally, can use the link in MS Teams. All materials will be in MS Teams (I'll explain it more in the 1st class).

Syllabus

  1. Basics of mathematical analysis: functions, differential calculus
  2. Basics of linear algebra: matrices and vectors, operations
  3. Basics of probability: likely and not likely, unconditional and conditional probability
  4. Basics of propositional and predicate logic

References

  • Discrete structures with contemporary applications / Stanoyevitch A. CRC Press, Taylor & Francis Group, 2011.
  • A First Course in Real Analysis. Second Edition. / Protter, M.H. & Morrey, C.B. Springer-Verlag , 1991.
  • Basics of Mathematical Functions: https://www.khanacademy.org/math/algebra/algebra-functions
  • Calculus / Gilbert Strang. Massachusetts Institute of Technology: Wellesley-Cambridge Press.
  • Fundamentals of Linear Algebra / James B. Carrell. Canada: University of British Colombia, 2005.
  • Artificial Intelligence: A Modern Approach / Stuart Russell and Peter Norvig. The USA: Pearson, 2010.

Course grading

To be classified student has to achieve at least 50% of every activity:

THREE EXAM TESTS:

  • form: 60 minutes writing test
  • terms: to be announced
  • goal: progress definition
  • weight: 20 % each

ATTENDANCE, ACTIVITY

  • form: classwork (solving problems and schoolmate’s help)
  • term: every lecture and exercise
  • goal: regular preparation, cooperation, and virtual-social activity
  • weight: 10%

FINAL EXAM

  • form: 90 minutes writing test
  • term: January, February 2022
  • goal: course output
  • weight: 30%


OVERALL GRADING: A > 90%, B > 80%, C> 70%, D > 60%, E > 52%