Nevşehir Hacı Bektaş Veli University Course Catalogue

Information Of Programmes

TOURISM RESEARCH INSTITUTE / TT514 - TOURISM TECHNOLOGIES AND INNOVATION (MASTER'S WITH THESIS)

Code: TT514 Course Title: DATA-DRIVEN MODELING Theoretical+Practice: 3+0 ECTS: 6
Year/Semester of Study 1 / Spring Semester
Level of Course 2nd Cycle Degree Programme
Type of Course Optional
Department TOURISM TECHNOLOGIES AND INNOVATION (MASTER'S WITH THESIS)
Pre-requisities and Co-requisites None
Mode of Delivery Face to Face
Teaching Period 14 Weeks
Name of Lecturer BAYRAM DEVİREN (bayram.deviren@nevsehir.edu.tr)
Name of Lecturer(s)
Language of Instruction Turkish
Work Placement(s) None
Objectives of the Course
The aim of this course is to learn Mathematica from package programs used in the field of systems modeling and to perform basic algebraic operations symbolically and numerically and to show simulation applications in two or three dimensions. Moreover, it is to understand the problems that can be solved by data analytics/machine learning from data, to know and use research methods.

Learning Outcomes PO MME
The students who succeeded in this course:
LO-1 PO-12 It can search and organize information from different sources and interpret the results to create detailed reports.
LO-2 PO-2 It can use innovative research methods to collect big data, evaluate it and use it in decision processes.
LO-3 PO-15 Gain problem solving skills by using research methods used in different disciplines.
PO: Programme Outcomes
MME:Method of measurement & Evaluation

Course Contents
Introduction to simulation: simulation analysis and decision making, simulation analysis elements. Modeling and simulation: developing simulation models, simulation languages for modeling, analytical models and simulation. Creation and validation of simulation models. Data collection and analysis, randomization, model testing and implementation. Using simulation models: output analysis, model testing and optimization, application of simulation results.
Weekly Course Content
Week Subject Learning Activities and Teaching Methods
1 Introduction to Modeling and Simulation and Introduction and use of package programs and Mathematica Narration Method
2 Concept of simulation, its components, advantages of simulation Narration Method
3 Development of the Simulation Model Narration Method
4 Basic Numerical Calculations; Some Mathematical Functions; Complex Numbers Narration and Application Method
5 Variable Definition; Creation of Lists or Tables; Using the Four Kinds of Brackets Narration and Application Method
6 Algebraic Calculations; Assigning and Substituting Values to Variables Narration and Application Method
7 Transformations of Algebraic Expressions Narration and Application Method
8 mid-term exam
9 Symbolic Mathematica Narration and Application Method
10 Equations and Solutions with Solve, Reduce and FindRoot Command Narration and Application Method
11 Expanding and Using Taylor and Maclaurine Power Series with Series Command Narration and Application Method
12 Data Collection and input analysis Narration and Application Method
13 Output analysis Narration and Application Method
14 Two-dimensional graphic drawings Narration and Application Method
15 Three-dimensional graphic drawings Narration and Application Method
16 final exam
Recommend Course Book / Supplementary Book/Reading
1 Stephen Wolfram, Mathematica, 2nd Ed., Addison-Wesley Publishing, Inc., California (1991) (Türkçesi mevcuttur)
2 Aslan Gülcü, Mathematica 5 Bilgisayar Destekli Matematik, Nobel Yayın Dağıtım, Ankara
Required Course instruments and materials
Computer

Assessment Methods
Type of Assessment Week Hours Weight(%)
mid-term exam 8 2 40
Other assessment methods
1.Oral Examination
2.Quiz
3.Laboratory exam
4.Presentation
5.Report
6.Workshop
7.Performance Project
8.Term Paper
9.Project
final exam 16 2 60

Student Work Load
Type of Work Weekly Hours Number of Weeks Work Load
Weekly Course Hours (Theoretical+Practice) 3 14 42
Outside Class
       a) Reading 3 14 42
       b) Search in internet/Library 3 14 42
       c) Performance Project 0
       d) Prepare a workshop/Presentation/Report 0
       e) Term paper/Project 1 10 10
Oral Examination 0
Quiz 0
Laboratory exam 0
Own study for mid-term exam 4 5 20
mid-term exam 1 2 2
Own study for final exam 4 5 20
final exam 1 2 2
0
0
Total work load; 180