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Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS ELECTIVE

Offered By

Mathematics

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

PROFESSOR DOCTOR HALIL ORUÇ

Offered to

Mathematics

Course Objective

The aim of this course is to present essential idea behind real applications of mathematics in technology. It also aims to initiate students into the process of modelling as a path to the development of various mathematical applications.

Learning Outcomes of the Course Unit

1   Will be able to demonstrate applications of mathematics 2   Will be able to apply geometric modeling 3   Will be able to apply linear algebra techniques in modeling 4   Will be able to use algorithms and software to solve theoretical problems 5   Will be able to implement theoretical problems

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description 1 Science and Technology 2 GPS: Global Positioning System Ch.1 3 Robotic Motion Ch.3 4 Bezier and B-spline curves Lecture Notes 5 Savings and Loans Ch.5 6 Public Key Cryptography Ch.7 7 Random-Number Generators Ch.8 8 Google and the PageRank Algorithm Ch.9 9 Problems and discussion 10 Why 44,100 Samples per Second (Musical scale) Ch.10 11 Image Compression Ch.11 12 NLP Lecture Notes 13 Deep Learning Lecture Notes 14 Calculus of Variations Ch.14

Recomended or Required Reading

Textbook(s): C. Rousseau, Y. Saint-Aubin, Mathematics and Technology, Springer Science Business Media New York 2008. ISBN: 978-0-387-69215-9 e-ISBN: 978-0-387-69216-6 DOI: 10.1007/978-0-387-69216-6 References: Materials: Instructor s notes and presentations

Planned Learning Activities and Teaching Methods

Lecture notes Presentation Problem solving

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA 1 MTE MIDTERM EXAM 2 FIN FINAL EXAM 3 FCG FINAL COURSE GRADE MTE * 0.50 + FIN * 0.50 4 RST RESIT 5 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.50 + RST * 0.50

Further Notes About Assessment Methods

None

Assessment Criteria

To be announced.

Language of Instruction

English

Course Policies and Rules

Attending at least 70 percent of lectures is mandatory.

Contact Details for the Lecturer(s)

e-mail: halil.oruc@deu.edu.tr Office: (232) 301 85 77

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours) Lectures 14 4 56 Preparations before/after weekly lectures 13 4 52 Preparation for midterm exam 1 30 30 Preparation for final exam 1 30 30 Final 1 3 3 Midterm 1 3 3 TOTAL WORKLOAD (hours) 174

Contribution of Learning Outcomes to Programme Outcomes

PO/LO PO.1 PO.2 PO.3 PO.4 PO.5 PO.6 PO.7 PO.8 PO.9 PO.10 PO.11 PO.12 PO.13 LO.1 5 3 4 4 3 3 LO.2 4 3 4 4 5 3 3 LO.3 4 3 4 4 5 3 3 LO.4 4 3 4 5 4 3 5 3 LO.5 4 3 4 4 3 3