ANTALYA BİLİM UNIVERSITY
Course Information Package

GMS 1009 - Basic Mathematic

Basic Information

Course Code:
GMS 1009
Course Name:
Basic Mathematic
Language of Instruction:
English
Course Type:
Class
Course Level:
Bachelor
ECTS:
5.00
Instructor:
Dr. Başak SARITAŞ

Course Objectives

This course aims to help tourism students understand fundamental mathematical concepts and apply them effectively in both daily life and professional practices.

Course Content

Numbers, Equations,Absolute Value and Inequalities, Exponents and Radicals, Ration, Proportion, and Measurement, Percentage Calculations, Basic Factorization of Numbers, Polynomials, Basic Cost-Profit Calculations,Interpreting Tables and Graphs.

Prerequisites / Corequisites

None

Course Books / Materials / Recommended Resources

Basic College Mathematics, PearsonMy & Lab Math with Pearson e-Text Access Code for Basic College Mathematics, Pearson

Learning Outcomes

Code Description
LO1 Defines and explains basic mathematical concepts such as number sets, operations, ratios and proportions, equations, and inequalities.
LO2 Solves real-life and professional problems by applying basic mathematical methods.
LO3 Establishes logical connections between mathematical relationships and interprets the results analytically.
LO4 Expresses mathematical ideas using appropriate symbols, graphs, and equations.
LO5 Applies basic mathematical knowledge to problem-solving in professional fields.

Weekly Course Content

Week Content
1 Theoretical lectures- 3hours
2 Theoretical lectures- 3hours
3 Theoretical lectures- 3hours
4 Theoretical lectures- 3hours
5 Theoretical lectures- 3hours
6 Theoretical lectures- 3hours
7 Theoretical lectures- 3hours
8 MIDTERM
9 Theoretical lectures- 3hours
10 Theoretical lectures- 3hours
11 Theoretical lectures- 3hours
12 Theoretical lectures- 3hours
13 Theoretical lectures- 3hours
14 Theoretical lectures- 3hours
15 FINAL EXAM

Workload Calculation

Activity Count Duration (Hours) Total
Attendance 15 3.00 45.00
Practice 15 1.00 15.00
Laboratory 15 3.00 45.00
Pre-Class Individual Study 15 1.00 15.00
Post-Prectice Individual Study 15 1.50 22.50
Midterm Exam/Preparation 1 3.00 3.00
Final Exam/Preparation 1 3.00 3.00
Total Workload (Hours) 148.5
ECTS Credit (Workload / 25) 5

Assessment

# Assessment Type Contribution (%)
1 Midterm Exam %40
2 Project %50
3 Final Exam %10
TOTAL %100

PO - LO Matrix

PO \ LO
LO1
LO2
LO3
LO4
LO5
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
PO-14
1
Low Contribution
2
Medium Contribution
3
High Contribution

Teaching and Learning Methods

# Method Name Description Tools
1 Lecture (expository teaching), interactive discussion Listening and taking notes. Standard classroom technologies, multimedia tools (projector, computer, digital presentations)
2 Controversial Course Listening and comprehension, critical thinking Standard classroom technologies, multimedia tools, projector, computer, overhead projector
3 Special Support / Structural Examples Pre-planned specific skills
4 Problem Solving * Analyzing physical and physiological problems using problem-solving techniques and developing appropriate solutions.
5 Brainstorming The purpose of forming pairs is to ensure that they are open to innovation during the idea generation phase Standard classroom technologies, multimedia tools, projector, computer, overhead projector
6 Oral Research – lifelong learning, processing situations, developing questions, interpreting, presenting

Academic Integrity and Artificial Intelligence

Students are expected to complete all assignments, examinations, and other assessment activities in accordance with the principles of academic integrity. Plagiarism, cheating, submitting another person's work as one's own, and other forms of academic misconduct will be handled in accordance with the University's academic regulations.Artificial intelligence (AI) tools (e.g., ChatGPT, Gemini, Copilot) may be used to support learning and understanding. However, AI-generated content must not replace the student's own knowledge, reasoning, or problem-solving process. Students are responsible for verifying the accuracy of AI-generated information and, when requested, disclosing the use of such tools. The use of AI tools during examinations or in any assessment where their use has not been explicitly authorized by the instructor is prohibited.