GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
ELECTIVE -(COMPUTER SUPPORTED MATHEMATICS)/MAT522A
Course Title: ELECTIVE -(COMPUTER SUPPORTED MATHEMATICS)
Credits 3 ECTS 5
Semester 10 Compulsory/Elective Elective
COURSE INFO
 -- LANGUAGE OF INSTRUCTION
  Turkish
 -- NAME OF LECTURER(S)
  Research Assist. Dr. Hilal Gülkılık
 -- WEB SITE(S) OF LECTURER(S)
  http://www.websitem.gazi.edu.tr/site/ghilal
 -- EMAIL(S) OF LECTURER(S)
  ghilal@gazi.edu.tr
 -- LEARNING OUTCOMES OF THE COURSE UNIT
Understand the programming environment of Mathematica.
Solve diff erent mathematical problems (symbolically and numerically) using Mathematica.
Write Mathematica programs.
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 -- MODE OF DELIVERY
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 -- PREREQUISITES AND CO-REQUISITES
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 -- RECOMMENDED OPTIONAL PROGRAMME COMPONENTS
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 --COURSE CONTENT
1. Week  Introduction
2. Week  Mathematica as a calculator. Numbers. Algebraic computations. Trigonometric computations. Variables. Equalities =, :=, ==. Dynamic variables
3. Week  Defining functions. Formulas as functions. Anonymous functions.
4. Week  Lists. Functions producing lists. Listable functions. Selecting from a list.
5. Week   Changing heads!.
6. Week  A bit of logic and set theory. Being logical. Handling sets. Decision making, If and Which.
7. Week   Sums and products. Sum. Product.
8. Week  Loops and repetitions. Do, For a While. Nested loops. Nest, NestList and more. Fold and FoldList. Inner and Outer.
9. Week  Substitution, Mathematica rules.
10. Week  Pattern matching.
11. Week  Functions with multiple definitions. Functions with local variables. Functions with conditions.
12. Week  Recursive functions.
13. Week  Linear algebra. Vectors. Matrices.
14. Week  Graphics. Two-dimensional graphs. Three-dimensional graphs.
15. Week  Calculus and equations. Solving equations. Calculus.
16. Week  Evaluation of the course
 -- RECOMMENDED OR REQUIRED READING
  Roozbeh Hazrat, Mathematica: A Problem Centered Approach, 1st Edition Cheung, Keough, Gross, and Landraitis, Getting Started with Mathematica, 3rd E
 -- PLANNED LEARNING ACTIVITIES AND TEACHING METHODS
  Lecture, Question & Answer, Demonstration, Drill - Practise
 -- WORK PLACEMENT(S)
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 -- ASSESSMENT METHODS AND CRITERIA
 
Quantity
Percentage
 Mid-terms
1
25
 Assignment
1
25
 Exercises
0
0
 Projects
1
25
 Practice
0
0
 Quiz
0
0
 Contribution of In-term Studies to Overall Grade  
75
 Contribution of Final Examination to Overall Grade  
25
 -- WORKLOAD
 Efficiency  Total Week Count  Weekly Duration (in hour)  Total Workload in Semester
 Theoretical Study Hours of Course Per Week
14
2
28
 Practising Hours of Course Per Week
0
 Reading
14
1
14
 Searching in Internet and Library
14
1
14
 Designing and Applying Materials
0
 Preparing Reports
1
10
10
 Preparing Presentation
1
5
5
 Presentation
1
2
2
 Mid-Term and Studying for Mid-Term
1
14
14
 Final and Studying for Final
1
15
15
 Other
1
23
23
 TOTAL WORKLOAD: 
125
 TOTAL WORKLOAD / 25: 
5
 ECTS: 
5
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
 PROGRAM LEARNING OUTCOMES
1
2
3
4
5
1Acquisition of scientific thinking skillsX
2Making research and investigation independentlyX
3Acquisition of carefully observing and analytically thinking skillsX
4Acquisition of learning and teaching mathematics problemsX
5Comprehending, applying and explaining the importance of mathematical conceptsX
6Developing the thinking, producing, argumenting and probing abilitiesX
7Having the algorithm and sotftware writing abilities for solving computer supported problemsX
8Developing the ability of reaching information, evaluating and presenting informationX
9Improving yourself parallel to the developing technologyX
10Understands the disciplinary structure of mathematics, its historical development, related philosophical approaches and problems.X