Mechanics Physics (4 credit hours)
This course covers the fundamental laws of physics, including particle kinematics and dynamics, work and energy, rotational motion, vibrations, and fluid mechanics. Theoretical concepts are reinforced through laboratory experiments involving the physical pendulum, simple pendulum, spring constant, fluid viscosity, projectile motion, coefficient of friction, and moment of inertia.
Prerequisite: None.
Calculus 1 (3 credit hours)
This course introduces real and complex numbers, matrix algebra, functions and limits, derivatives and their applications, as well as indefinite integrals. The course emphasizes fundamental concepts, operations, and their applications in basic mathematical analysis.
Prerequisite: None.
Chemistry (3 credit hours)
This course provides an introduction to the fundamentals of chemistry, including atomic structure, properties of matter, and chemical reactions. It aims to equip students with an understanding of chemical phenomena while developing analytical, critical thinking, and problem-solving skills for scientific study and practical applications.
Prerequisite: None.
Engineering Drawing (2 credit hours)
Fundamentals of engineering drawing, the use of drawing tools and standards, interpreting and understanding drawing forms for production, and an introduction to CAD applications such as SolidWorks, AutoCAD, and Fusion to support product design.
Prerequisite: None.
Introduction to Industrial and Systems Engineering (2 credit hours)
An introduction to the profile, competencies, curriculum, and career opportunities for graduates of Industrial and Systems Engineering. The course covers the concept of systems, business processes, hard and soft skills, as well as Student-Centered Learning (SCL) methods.
Prerequisite: None.
Statistics 1 (3 credit hours)
An introduction to statistical methods for data-driven decision-making, covering data types, descriptive statistics, probability theory and distributions, sampling distributions and methods, and parameter estimation.
Prerequisite: None.
Biology (2 credit hours)
Fundamental concepts of life, from cells to ecosystems, biodiversity, and interactions with the environment. Learning activities include lectures, assignments, discussions, case studies, and assessment of student learning outcomes.
Prerequisite: None.
Ergonomics (3 credit hours)
Ergonomic principles to enhance human interaction with work systems, machines, and environments, aiming to create effective, comfortable, safe, healthy, and efficient (ENASE) working conditions while promoting industrial productivity.
Prerequisite: Introduction to Industrial and Systems Engineering.
Physics of Electricity and Magnetism (3 credit hours)
Basic physical laws related to electricity and magnetism, including electric fields and potentials, current, magnetic fields, electromagnetic induction (EMF), and alternating current, using simple mathematical approaches and applied concept examples.
Prerequisite: Mechanics Physics.
Calculus 2 (3 credit hours)
Covers transcendental functions, integration techniques, applications of integrals, polar and parametric coordinates, and infinite series including Taylor and Maclaurin series, along with their applications and convergence analysis.
Prerequisite: Calculus 1.
Introduction to Economics (2 credit hours)
An introduction to the fundamentals of microeconomics, macroeconomics, and global economics, covering resource allocation, pricing systems, economic policies, sustainable growth, and balance of payments, providing a foundation for analysis in industrial and systems engineering.
Prerequisite: None.
Manufacturing Process (3 credit hours)
Traditional and modern manufacturing processes for metallic and non-metallic materials, including casting, cutting, forming, assembly, and additive manufacturing, along with the analysis of engineering materials in the discrete manufacturing industry.
Prerequisite: Engineering Drawing.
Statistics 2 (3 credit hours)
Inferential statistics such as hypothesis testing, ANOVA, regression, correlation, goodness-of-fit tests, and nonparametric statistics for data analysis and decision-making based on samples in various real-world cases.
Prerequisite: Statistics 1, Introduction to Industrial and Sytems Engineering.
Algorithm and Computer Programming (2 credit hours)
An introduction to problem-solving techniques using structured programming through the development of flowcharts, pseudocode, and the implementation of simple algorithms utilizing sequential, conditional, and iterative structures.
Prerequisite: None.
Linear Algebra (2 credit hours)
Vector spaces, linear transformations and operations, Hermitian matrices and quadratic forms, complex vector spaces, and tensor products.
Prerequisite: None.
Cost Analysis and Estimation (3 credit hours)
Financial and managerial accounting covering the accounting cycle, preparation and analysis of financial statements, as well as cost concepts, allocation, and cost estimation to support decision-making.
Prerequisite: Introduction to Economics.
Occupational Health and Safety (2 credit hours)
Theory and application of workplace safety, hazard identification and prevention, safety equipment analysis, occupational health and safety (OHS) management systems, and current issues such as Behavior-Based Safety, Safety Culture, and OHS in the Industry 4.0 era.
Prerequisite: Ergonomics.
Operations Research 1 (3 credit hours)
Linear Programming (LP) and its applications, including problem formulation, graphical methods, the simplex method, duality, sensitivity analysis, and special topics such as transportation, assignment, and network models, using mathematical approaches and supporting software.
Prerequisite: None.
Manufacturing System (3 credit hours)
This course covers the design and control of manufacturing systems to efficiently meet customer requirements in terms of quantity, quality, and delivery time. Topics include manufacturing system components such as production facilities, storage, material handling, and inspection. The course also addresses operational characteristics (production rate, cycle time, manufacturing lead time, resource requirements) and efficiency improvement strategies including Automation, Flexible Manufacturing Systems, Just-in-Time, Lean, and Agile Manufacturing.
Prerequisite: Engineering Drawing, Manufacturing Process, Cost Analysis and Estimation.
Statistics 3 (3 credit hours)
Multivariate analysis covering regression, classification, clustering, data manipulation, and time series analysis. Topics and methods introduced include covariance and correlation analysis, data transformation, data preprocessing, K-means and hierarchical clustering, linear discriminant analysis (LDA), linear regression, principal component analysis (PCA), factor analysis, and time series modeling. The use of R programming in multivariate analysis is also introduced.
Prerequisite: Statistics 2.
Method Engineering and Work Measurement (3 credit hours)
Productivity improvement through work study, including motion and time study, waste identification, work measurement techniques, and work efficiency within the context of Industry 4.0, aimed at designing effective and efficient work methods.
Prerequisite: Manufacturing Process.
Engineering Economy (3 credit hours)
This course introduces the principles and methods of engineering economy for evaluating the economic feasibility of projects in industrial settings. Topics include the time value of money, cash flow analysis, cost estimation, economic decision-making, comparison of alternatives, depreciation, inflation, and risk analysis. The course emphasizes applying these concepts to real-world industrial problems to support effective and efficient decision-making.
Prerequisite: Cost Analysis and Estimation.
Maintenance and Reliability Engineering (2 credit hours)
Concepts of reliability and reliability-centered maintenance, including failure modeling, reliability testing, and maintenance strategies and planning to ensure optimal and dependable system performance.
Prerequisite: None.
Operations Research 2 (3 credit hours)
Advanced optimization modeling, both deterministic and stochastic, including Integer and Goal Programming, Game Theory, Dynamic Programming, Markov Chains, and Queuing Theory, along with their applications in industrial and business decision-making. The course also covers solution methods through manual algorithm implementation and the use of supporting software.
Prerequisite: Operations Research 1.
Quality Control and Assurance (3 credit hours)
This course covers quality assurance methods, statistical quality control, and quality improvement. Topics include quality concepts, customer requirements, standard operating procedures, quality inspection, and measurement tools. Statistical quality control includes control charts for measurable and categorical characteristics and process capability analysis. Sampling methods are used for raw material quality control. Quality improvement is addressed using the 7 Quality Tools and experimental design.
Prerequisite: Statistics 3.
Product Design and Development (3 credit hours)
This course covers quality assurance methods, statistical quality control, and quality improvement. Topics include quality concepts, customer requirements, standard operating procedures, quality inspection, and measurement tools. Statistical quality control includes control charts for measurable and categorical characteristics and process capability analysis. Sampling methods are used for raw material quality control. Quality improvement is addressed using the 7 Quality Tools and experimental design.
Prerequisite: Statistics 3.
Business Information System Design (3 credit hours)
This course covers the fundamental concepts of information systems, including both manual and computer-based systems. Topics include the system development life cycle, management information systems, database fundamentals, and the design and implementation of business information systems. Emphasis is placed on applying these concepts to real-world business applications and problem-solving.
Prerequisite: None.
Production Planning and Inventory Control (3 credit hours)
The center of manufacturing operations is to optimize the use of production resources to efficiently meet customer demand. This course covers advanced concepts, techniques, methods, and practical issues related to production planning and inventory control. Through this course, students are expected to analyze and design effective PPIC (Production Planning and Inventory Control) strategies within real-world manufacturing industry contexts.
Prerequisite: None.
Project Management (2 credit hours)
This course introduces the fundamental concepts of Project Management based on the PMBOK framework. The material covers the entire project life cycle, including initiation, planning, execution, monitoring and control, and project closure. Students will learn various tools used in project management to achieve objectives effectively within time and resource constraints.
Prerequisite: None.
Industrial Automation (3 credit hours)
This course covers the basic principles of industrial automation, mechanisms and components of automation systems, and control system design. Students will gain both theoretical understanding and practical experience in designing and integrating automation systems, culminating in the development of a prototype as an application of their knowledge and a means to enhance innovation and problem-solving skills.
Prerequisite: Manufacturing Process.
Facility Planning (3 credit hours)
Key stages in facility planning include location analysis, material flow design, warehouse layout, material handling, and planning of supporting facilities. The main focus is on the arrangement and optimization of facility layouts to effectively support the company’s strategy.
Prerequisite: Manufacturing System, Method Engineering and Work Measurement.
Industrial System Simulation (3 credit hours)
Simulation techniques as a tool to replicate complex processes that are difficult to model mathematically. The course covers random number generation, data collection for simulation purposes, designing valid discrete event simulation models, conducting experiments, and analyzing the results.
Prerequisite: Operations Research 2, Algorithm and Computer Programming.
Logistics System (3 credit hours)
Logistics functions within companies and supply chains, including distribution networks, transportation, and warehousing. Students will learn concepts, models, and current logistics issues, utilize application software, and apply their knowledge to case studies.
Prerequisite: Production Planning and Inventory Control.
Data Analytics (2 credit hours)
The fundamentals and methodologies of data analytics to enhance business process effectiveness. Topics include data analytics concepts, its strategic role in industrial engineering, data acquisition and cleaning processes, data visualization, modeling i.e. statistical or machine learning (supervised and unsupervised), model evaluation, decision-making, as well as ethics and presentation of analytical results.
Prerequisite: Statistics 3, Algorithm and Computer Programming.
Field Work (2 credit hours)
It is a practical work activity requiring students to undertake at least one month of internship in a company or relevant institution. This program aims to provide hands-on industrial experience, strengthen professional skills, and enable students to apply their academic knowledge and competencies to real-world work environments.
Prerequisite: completion of at least 80 credit hours.
Financial Management (3 credit hours)
This course equips students with knowledge and skills to support decision-making in investment, financing, and cash flow management within a company. The primary focus is on understanding how environmental factors and systemic risks influence financial decisions in industry, with the goal of maximizing shareholder value.
System Modeling (3 credit hours)
This course introduces the principles and techniques of systems modeling to analyze, design, and improve complex systems. Topics include system conceptualization, model formulation, validation, and the application of various modeling approaches using both hard and soft Operations Research (OR) methodologies to solve real-world problems in engineering and industrial contexts. Emphasis is placed on understanding model assumptions, conducting sensitivity analysis, and interpreting results to support decision-making.
Prerequisite: Industrial System Simulation.
Concurrent Engineering (3 credit hours)
This course provides knowledge and skills in collaborative and concurrent new product development, covering the entire product life cycle. Students will learn the principles of Concurrent Engineering (CE), its implementation elements in industry, and key tools such as Design for X (DfX) and Design for Manufacture and Assembly (DfMA), including the use of supporting software. The course also covers risk management and the application of digital technologies (Industry 4.0) in CE.
Prerequisite: None.
Organization and Human Resource Management (3 credit hours)
Designing organizations and managing human resources in alignment with the organization’s vision, mission, and strategy. Students will study concepts of strategic management, organizational structure, and human resource management to develop systems thinking competencies for creating organizational competitive advantage in the global era.
Prerequisite: None.
Marketing Management (3 credit hours)
Fundamentals of marketing, including product alignment with distribution channels, pricing, and customer communication. Students will learn to apply marketing tools such as product policy, promotion, segmentation, and customer retention through case studies and group projects, with a focus on sustainable marketing strategies from local to digital markets.
Prerequisite: None.
Smart Manufacturing (3 credit hours)
Principles and applications of smart manufacturing integrating digital technologies such as IIoT, data analytics, automation, and cyber-physical systems to enhance efficiency, productivity, and sustainability. Students will analyze case studies, engage in multidisciplinary team discussions, and design innovative solutions in the field of smart manufacturing.
Prerequisite: None.
Industrial Planning (3 credits)
Integration of courses in Industrial and Systems Engineering through a problem/case-based learning approach. Students will work on cases involving product planning, corporate strategy, production systems, distribution, organizational structure, and financial feasibility analysis. The main focus is on integrating modules previously studied in the previous semesters.
Prerequisite: Engineering Economy, Production Planning and Inventory Control, Product Design and Development, Organization and Human Resource Management (or currently enrolled), Facility Planning.
Sustainable Industrial System (2 credit hours)
The course provides students with an understanding of ecosystems, the relationship between technology and the environment, and the impact of human activities. Students will study the principles of sustainable development, the Sustainable Development Goals (SDGs), and their applications at various levels of society. In addition, students will explore environmental management systems (such as ISO standards and Environmental Impact Assessments/AMDAL) and innovations in industrial ecology as solutions to environmental challenges.
Prerequisite: Manufacturing System.
Game Theory (3 credit hours)
This course introduces the fundamental concepts of game theory, including strategic form games, extensive form games, Nash equilibrium, mixed strategies, and repeated games. Students will learn how to model and analyze strategic interactions among rational decision-makers in competitive and cooperative environments. Applications will cover areas such as economics, business strategy, and social (market) behavior. The course aims to develop students’ analytical and critical thinking skills in evaluating strategic decision-making scenarios.
Prerequisite: Operations Research 2.
Final Project (6 credit hours)
It is a scholarly work based on either research or design, developed by students to satisfy the graduation requirements of the Bachelor’s Program at Institut Teknologi Sepuluh Nopember (ITS). The process includes proposal preparation, project execution, and the composition of a final report, adhering to established scientific and linguistic standards, and conducted under the guidance of a faculty advisor. Students are also required to formally present and defend their Final Project before an academic panel. The TA is designed to cultivate students’ analytical abilities, critical thinking, and problem-solving skills within the discipline of Industrial and Systems Engineering.
Prerequisite: completion of at least 120 credit hours including Field Work.
