This course provides a general information of the events from the end of the 19. century until the end of the Turkish War of Independence and the signing of the Treaty of Lausanne in 1923 and the following period until 1990’s.

Functions. Limit and continuity, Derivative and Applications.

The course will help students recognize the skills needed for university life and their career goals. These skills include self-awareness, goal setting, time management, effective communication, mindfulness and analytical thinking. The course will also raise students’ awareness on problems such as addiction and bullying.

This course aims at preparing students to use academic skills in English.

Economics is the study of how people interact with each other, and with the natural environment, in producing their livelihoods. This course is an introduction to the basic principles of microeconomics, which analyzes the choices and actions of the economic actors as both self-interested and ethical. This course covers capitalist revolution; the effects of technological change; scarcity and opportunity cost; social interactions; the effect of institutions on balance of power; interactions among firm’s owners, managers and employees; profit maximizing firm’s interaction with its customers; supply, demand, and market equilibrium; market disequilibrium in credit and labor markets; market failures.

LOG 203 Logistics and Supply Chain Management course is the continuation of LOG 112 Introduction to Logistics course. This course is the continuation of Introduction to Logistics and covers areas of supply chain relationships, transportation infrastructure, warehouse management, materials handling and packaging.

This course, designed for business faculty students, dives into probability essentials, covering discrete and continuous distributions and sampling distribution creation. It sharpens skills in estimating confidence intervals and in conducting hypothesis testing for single and dual population scenarios. Bridging theory with practical business and economic applications, the course prepares students to apply statistical tools in decision-making and strategic analysis, readying them to face real-world business challenges confidently.

This course consists of detailed investigations of the topics of the basic concepts of marketing, marketing environment, consumer behavior, segmentation, targeting, positioning, product development, pricing, place and promotion strategies. P.S. All academic work undertaken at Izmir University of Economics is subject to the “Universities’ Academic Honesty Codes and Regulations”. For details, please see: http://isl.ieu.edu.tr/en/akademik-durustluk

Data can be about anything. This course is about the data itself. Through this applied course students develop a critical perspective to identify data sources relevant to a problem in hand, learn how to: describe technologies and data management processes in contemporary corporate systems; combine and convert data across various sources, formats and standard; assess and improve data quality; articulate insights into a business or social science problem by visualizing and interpreting features of data and basic data analysis. The course consists of three modules: 1. Data and Life (4 weeks): Identifying sources of data in business and social sciences and what it represents. Translating theories and hypothesis to data. Sources and costs related to data. Data liabilities, ethics, security and theft, privacy concerns. Associational, relational, and geographic data; 2. Telling stories with data (5 weeks): Communicating analytics, using simple (Excel, Kaggle) plots in reports, infographics; 3. Managing data in the real world (5 weeks):SQL, RDBMS, data cleaning issues, unstructured data, the need for NoSQL databases in cloud and big data. Corporate ICT systems: storage and flow of data and information on-site and in cloud.

This course is designed as an introductory accounting course in which the aim is to initiate the students in the use and preparation of financial statements. As aspiring managers, the students need to recognize the need for accounting principles, procedures, and financial statements in the decision-making process of companies. In doing so, the topics covered include the basic accounting principles, recording process, and tools to prepare and analysis of the financial statements.

The course content includes the contemporary issues about logistics and supply chain management, academic and scientific studies, success stories and specific business cases.

This course aims to introduce concepts and techniques related to the design, planning, control, and improvement of both manufacturing and service operations. Some of the topics covered include: process description, flow diagrams, capacity analysis, capacity ROI, cycle time analysis, inventory management, delayed postponement, production control, work coordination, risk pooling, quality management, process design and reengineering, product development, project management, procurement

Students will be taught how to use the written and verbal communication tools accurately and efficiently in this course. Various types of verbal and written statements will be examined through a critical point of view by doing exercises on understanding, telling, reading, and writing. Punctuation and spelling rules, which are basis of written statement, will be taught and accurate usage of these rules for efficient and strong expression will be provided. As for verbal statement, students will be taught how to use the body language, use accent and intonation elaborately, and use presentation techniques.

This course aims to teach fundamentals of modeling and simulation with applications in logistics management and logistics operations. Emphasis is placed on hands-on experience of both analytical and modeling aspects of simulation. Analysis topics include input distributions and processes, methods for generating random numbers and processes, statistical analysis of output, experimental design and optimizing simulation models. Modeling topics include model construction for static or dynamic systems, issues about level of detail, the simplifying assumptions, model validation and verification using a high-level modeling package.

Important elements covered in the course but not limited to include the following: Basic concepts of strategic management; Concepts of strategic logistics & supply chain management; Strategy formulation in logistics and supply chain management; Strategy deployment and implementation in logistics and supply chain management; Differentiation through supply chain strategies; Customer service strategy in logistics and supply chain management; Competitive strategies in supply chains; Strategy debate in logistics and supply chain management; Distribution channel strategies in global markets. The course will introduce students the concept of sustainability at all stages of strategic management; then coach them to learn how sustainability issues materialize as a concern for business decisions and strategies.

The basic objectives of this course are to cover procurement and its functionalities, differences in procurement systems and approaches in these areas. Procurement variables e.g.; quality, quantity, time, price, source are discussed in detail. Relationship with suppliers and its impacts on procurement systems are also covered

An ideal project should cover combinations of the several knowledge areas that Logistics Management students can work on as teams of 5-6 people. Some of the areas can be listed as business process management, capacity planning, decision making, facilities planning and/or design, logistics information systems, lean methods, logistics management systems, material handling, performance management and/or measurement, supply chain management issues, supply and demand management.

Basic concepts of the law of obligations, special types of contracts, basic concepts of commercial law, general principles of company law, negotiable instruments, unfair competition and labor law will be handled in the scope of this course.

This course aims to develop data processing and analysis skills required in the fields of business and economics. In this course students learn computer coding skills focused on data processes, with case studies in their fields. In contrast to coding courses for students aiming an expertise in computing, this course approaches algorithms in terms of their function in business and economics problems and focuses on features and applications of data processing patterns. In this applied course students learn the programming languages Python and R, which are very common in business practice and research. In addition, the course covers the properties of big data analytics and technologies used for it. The course consists of three modules: 1-Big data (2 weeks): technologies (Hadoop, MapReduce), competencies, real time data processing, possible value creation pipelines in big data 2-Statistical processing with R (6 weeks): Exploratory statistics in R. 3-Introduction to coding for data analytics with Python (6 weeks): data types, searching/sorting, list processing for statistical calculations, web scraping for data

This course involves the managerial and economic subjects about distribution channels and supply chains. Relations management in industrial markets; coordination, cooperation, conflict and power relations among supply chain member are also some of the subjects that are covered in this course. Application examples, case studies and academic articles are made use of during the course.

International sales of goods contracts, international delivery and payment terms. Regulations governing logistics and transportation. Carriage, international conventions related to transportation, carriage contracts and liabilities of parties in carriage contracts, warehousing contracts, documents used in transportation.

Within this course, the main processes of intermodal transportation will be reviewed within the context of theoretical knowledge.

ENG 102 is a compulsory course for first year students. ENG 102 focuses on the cognitive skills of listening, reading, writing and speaking. Students' academic listening skills will be improved by listening to important / relevant information from lectures or discussions and reading skills by reading recent academic texts and then using this information to create an output task. Speaking focuses on giving presentations and students get prepared to express their ideas and opinions by speaking persuasively and coherently. The writing component is a consolidation of the speaking activities.

This course provides an introduction to the principles of macroeconomics, focusing on the fundamental concepts and tools used to analyze the economy as a whole. Students will explore key macroeconomic variables such as GDP, unemployment, inflation, and economic growth, and learn how to measure and interpret these indicators. The course covers the aggregate demand/aggregate supply (AD/AS) model to understand economic fluctuations and policy responses. Additionally, students will examine the roles of money, banking, and central banks in the economy, as well as the impact of monetary and fiscal policy on macroeconomic outcomes. By the end of the course, students will be able to analyze real-world economic issues, evaluate policy decisions, and apply economic reasoning to understand global and domestic economic trends.

Calculus II is the sequel to Calculus I. Topics are as follows: Sketching graphs of functions, optimization, integral, techniques of integration, fundamental theorem of calculus, areas between curves, differential equations, improper integrals.

This course examines the planning and management of logistics functions and supply chain activities. Emphasis is placed on logistics, logistics information systems, supply chain management, order management and customer service, principles of inventory management, logistics costs and cost tradeoff.

This course involves the issues that are critical for managing service supply chains efficiently. This course embraces the concepts of service components and delivery, customer journey mapping, service design and innovation, service failures and recovery, transformative services and quality. Real life cases are being used.

The course includes the fundamentals of the analytical tools available to reduce costs and improve service levels in logistics systems. Strategic, tactical and operational level decisions regarding logistics system design, inventory management, warehouse design and operations, facility location, freight transport planning are studied and modeled using operations research tools. The essential theory on set covering, traveling salesperson and vehicle routing problems is studied to provide a sound basis for advanced modeling. Mathematical programming and heuristic algorithms for solving complex logistics decision problems are introduced with relevant computer applications.

It’s to be a basis for all students who will work in either logistics, engineering, IT, HR or other branches in today’s professional life and should know; how supply chain information systems is applied in management, how organizational needs match with ERP system needs, how supply chain management is integrated with information technologies, how business strategies cope with ERP system strategies, how risks are analyzed, minimized and managed, how IT or informational processes are aligned with business processes, how professionals should encounter & cope with all aspects of information systems.

ENG 310 is a compulsory course for third year students and is designed to enable them to speak more effectively while expressing themselves in a variety of areas, such as business related and academic related topics. These areas range from participating in discusiions to presenting information in the form of short presentations, known as Pecha Kuchas. Students will also take part in role plays and formal debates.

Internship covers field experience at any work place for 4 weeks. Internship covers field experience at any work place for 4 weeks.

Based on a 35 person team, project scope should be determined such that approximately 650 person hours is spent for the entire project. An ideal project should cover combinations of the several knowledge areas that Logistics Management students can work on. Some of the areas can be listed as business process management, capacity planning, decisionmaking, facilities planning and/or design, lojistik information systems, lean methods, logistics management systems, material handling, performance management and/or measurement, supply and demand management.

This course focuses on the solution of possible problems that can arise during international supply chain operations and managing the process efficiently. In addition, global environment factors and players, recent trends, and international trade issues will be covered.