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The course guide is provisional.
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Logistics Information Systems
Code: 44766Credits: 16.5
| Degree programme | Type | Course |
|---|---|---|
| Logistics and Supply Chain Management | OP | 2 |
Contact lecturer
- Name :
- Juan José Ramos Gonzalez
- Email :
- juanjose.ramos@uab.cat
Teaching staff (external to UAB)
- Prof. Andrejs Romānovs (andrejs.romanovs@rtu.lv)
- Prof. Mārīte Kirikova (marite.kirikova@rtu.lv)
- Assist.Prof. Darja Plinere (darja.plinere@rtu.lv)
- Assoc. Prof. Arnis Lektauers (arnis.lektauers@rtu.lv)
Group languages
You can consult this information at the end of the document.
Prerequisites
Information Technologies (2nd semester) successfuly completed
Objectives
CU1: Logistics Information Systems (6 ECTS)
This course “Information technologies in logistics” is an important component part of logistics specialist theoretical training that enables students to effectively work in the area of business logistics, based on use of modern information technology.
After the course, students are expected to be able:
- to consider, interpret and use professional terminology in logistics and related information technologies area
- to discuss information technologies in logistics, to analyze problems and trends of the industry
- to solve thematic tasks in the field of logistics IT and to compare results of different solution scenarios and its performance results
- to describe the relevance of the chosen logistics information technology topics, to classify existing solutions, analyze the existing problems and trends
CU2: Secure E-Commerce Technologies (3 ECTS)
This course “Secure E-Commerce Technologies” is an important component part of theoretical training for logistics specialists enabling an effective work in the area of electronic commerce by using advanced and secured internet solutions.
After the course, students are expected to be able:
- To define, interpret and use professional terminology in the area of electronic commerce.
- To develop a project of e-commerce system.
- To develop the ability to design, select, evaluate, and use a variety of security solutions in e-commerce
- To evaluate designing and implementation techniques of e-commerce solutions.
- To explain the essence of application, possibilities and importance of information technologies in different areas of e-commerce.
CU3: Systems Analysis (3 ECTS)
The goal of the course is to acquire basic principles of logistics information systems analysis, system classifications, characteristics, basics of process theory, modelling and characteristics of complex system functioning, organization of logistics information system analysis process, its methods, and software-oriented notations.
After the course, students are expected to:
- be able to identify tasks of logistics information systems analysis
- have modelling and decision analysis skills and understand organizational requirements in case of new solutions and changes concerning logistics information systems
- know how to decompose the systems and analyse their structure
- know the basics of process theory, modelling and general characteristics of system functioning
- understand organization of logistics information systems analysis process and is able to apply corresponding methods
CU4: Digital Ethics and Artificial Intelligence Interaction (6 ECTS)
The aim of the study course is to provide students with knowledge of ethics and the operating principles of large language models in artificial intelligence, to develop students' ability to combine the theoretical foundations of digital ethics with a technical understanding of AI, critically evaluating their interaction.
After the course, students are expected to:
- articulate and analyze the ethical theories and principles that govern the development and use of technology
- explain the underlying architecture, operating mechanisms, and training processes of large language models (LLMs)
- apply digital ethics principles—both theoretically and practically—when evaluating and utilizing AI solutions across various industries
- design practical use-case scenarios for large language models that effectively integrate technical knowledge with ethical frameworks
Learning outcomes
- CA27 (Address the development of e-commerce systems by looking at the different steps involved in their deployment (design, programming, testing and maintenance) from a holistic approach that considers their viability, reliability, and efficiency, as well as the challenges of integrating them into logistics operations.) Address the development of e-commerce systems by looking at the different steps involved in their deployment (design, programming, testing and maintenance) from a holistic approach that considers their viability, reliability, and efficiency, as well as the challenges of integrating them into logistics operations.
- CA28 (Identify IT needs in specific logistics systems and choose software that supports logistics operations (warehouse, inventory, transport and customer relationship management information systems, enterprise resource planning and supply chain planning, production planning and control information systems, supply chain event management information systems, etc.).) Identify IT needs in specific logistics systems and choose software that supports logistics operations (warehouse, inventory, transport and customer relationship management information systems, enterprise resource planning and supply chain planning, production planning and control information systems, supply chain event management information systems, etc.).
- KA29 (Recognise logistics information systems and the main subsystems, how they work, how they are built and their principles.) Recognise logistics information systems and the main subsystems, how they work, how they are built and their principles.
- SA38 (Apply basic systems analysis concepts, their features, laws, principles, structures and models to the context of logistics information systems.) Apply basic systems analysis concepts, their features, laws, principles, structures and models to the context of logistics information systems.
- SA39 (Use logistics information system modelling techniques to analyse decisions and draw up organisational requirements for new solutions and changes.) Use logistics information system modelling techniques to analyse decisions and draw up organisational requirements for new solutions and changes.
- SA40 (Apply suitable basic (RFID/barcodes), processing, tracking and tracing (GPS, Galileo, etc.) and communications (wireless, mobile, networking, EDI, etc.) technologies to logistics and supply chain management.) Apply suitable basic (RFID/barcodes), processing, tracking and tracing (GPS, Galileo, etc.) and communications (wireless, mobile, networking, EDI, etc.) technologies to logistics and supply chain management.
- SA41 (Select e-business tools in order to apply the principles of e-business system development.) Select e-business tools in order to apply the principles of e-business system development.
- SA42 (Apply the principles and mechanisms of information system reliability to logistics and e-commerce.) Apply the principles and mechanisms of information system reliability to logistics and e-commerce.
Contents
CU1: Logistics Information Systems (6 ECTS)
In this course, the basics of logistics information technologies are examined; a special attention is paid to the basic functioning principles of logistics information systems and to the information technologies used in logistics, such as tracking and tracing technologies, object identification technologies, communication technologies. There are also examined examples of IT applications in the purchasing, manufacturing, distribution, transportation, inventory and warehouse logistics.
List of topics:
- The role of information technologies in LSCM.
- Basics of enterprises’ information systems: introduction to IT, information systems in the enterprise, electronic business and electronic commerce, IS hardware and software, managing data resources, etc.
- Major subsystems and internal operation of logistic information systems
- Basic information technologies in logistics:
- tracking & tracing (GPS, Galileo, etc.),
- identification (barcoding, RFID),
- communication (wireless, mobile, networking, EDI, etc.).
- IT applications to support logistics functions (warehouse, inventory, transportation customer relationship management information systems, enterprise resource and supply chain planning, production planning and control information systems, supply chain event management information systems, etc.).
CU2: Secure E-Commerce Technologies (3 ECTS)
The course covers the latest computer technologies in the field of e-commerce, focusing on security risks, issues and solutions for the web environment and e-commerce systems in logistics and supply chains. The course focuses on the use of e-commerce methods and information technology in LSCM with the aim of implementing and maintaining effective security policies. Laboratory classes, based on an example of a website, provide the opportunity to gain practical skills in developing secure electronic commerce systems.
List of topics:
- E-commerce in logistics: object of e-commerce, history and development stages, influence on economy.
- E-commerce information technology: electronic data interchange, standards and classifiers, data identification methods.
- Information systems of e-commerce: classification, models, e-payment, e-document and e-government systems.
- Security risks, problems, and solutions in an e-commerce environment
- Development of secure e-commerce systems: design, programming, testing and maintenance.
- Evaluation of e-commerce efficiency and safety.
- E-commerce security solutions
- Integration of e-commerce and logistics: e-logistics.
CU3: Systems Analysis (3 ECTS)
The course concerns systems analysis tasks in the context of logistics information systems. It focuses on logistics information system modelling, decision analysis and organizational requirements for new solutions and changes. Functional decomposition and methods of structural analysis are includes in the course. Students learn system classifications and characteristics and general systems laws. Basics of process theory, modelling and characteristics of complex system functioning as well as organization of logistics information systems analysis process, its methods, and software-oriented notations are discussed.
List of topics:
- Tasks of logistics information systems analysis
- Modelling, decision analysis and organizational requirements for new solutions and changes
- Functional decomposition and structural analysis
- System's classifications and characteristics
- General system's laws
- Basics of process theory, modelling and general characteristics of system functioning
- Organization of logistics information systems analysis process and its methods
- Software-oriented notations of systems analysis process
CU4: Digital Ethics and Artificial Intelligence Interaction (6 ECTS)
The study course provides an in-depth insight into the conceptual foundations of digital ethics and their connection with the architecture and application of large language models (LLM) in artificial intelligence (AI). Special attention is paid to the main principles of digital ethics, safe and responsible behavior in virtual space, as well as the technical aspects of large language models, their architecture, training processes, the importance of data quality, and practical applications, which simultaneously create new opportunities for innovation and serious ethical challenges. The study course combines theoretical understanding of ethical paradigms and artificial intelligence architecture with practical tasks in case analysis and critical evaluation of modern LSCM problems.
List of topics:
- Fundamentals of ethics – main schools of ethical philosophy, moral dilemmas raised by technological developments, issues of human rights, privacy and freedom in the digital age.
- Digital ethics and regulatory frameworks – principles of digital ethics and their application in technology, international regulations and guidelines in the field of artificial intelligence, data protection, transparency and accountability mechanisms.
- Technical foundations of LLM – development of artificial intelligence and neural networks, LLM architecture and operating mechanics, natural language processing and text generation principles.
- LLM training and limitations – training data collection, preparation and volume design, model limitations, algorithm efficiency and quality assessment in general and in LSCM field specifically.
- Ethics and LLM interaction - ethical challenges in LLM development and use, LLM application scenarios for solution of LSCM problems, balancing ethical principles and technology.
Learning activities and methodology
| Title | Hours | ECTS | Learning outcomes |
|---|---|---|---|
| CU2. Mastering in the lectured course material | 24 | 0.96 | CA27, KA29 |
| CU3. Individual home assignments/exam | 28 | 1.12 | CA27, KA29, SA38, SA39 |
| CU3. Individual sessions | 4 | 0.16 | CA27, CA28, SA38, SA39 |
| CU3. Lectures | 10 | 0.4 | CA28, KA29, SA38, SA39 |
| CU4. Individual sessions | 6 | 0.24 | CA28, SA38, SA39 |
| CU2. Student presentation on the research topic | 2 | 0.08 | CA27, SA42 |
| CU2. Theory lectures | 20 | 0.8 | CA27, KA29, SA41, SA42 |
| CU1. Student presentation on the research topic | 12 | 0.48 | CA27, CA28 |
| CU3. Introduction of practice sessions | 4 | 0.16 | CA27, SA38, SA39 |
| CU2. Practise sessions | 10 | 0.4 | CA27, SA41, SA42 |
| CU1. Test on ITL | 2 | 0.08 | CA27, KA29, SA40 |
| CU1. Individual research essay | 20 | 0.8 | CA27, CA28, SA40, SA42 |
| CU1. Theory lectures | 40 | 1.6 | CA28, KA29, SA42 |
| CU4. Individual research essay | 22 | 0.88 | CA28, SA38, SA39, SA42 |
| CU4. Group sessions | 6 | 0.24 | CA28, SA38, SA39 |
| CU2. Individual research essay | 20 | 0.8 | CA27, CA28, KA29, SA41, SA42 |
| CU1. Mastering in the lectured course material | 18 | 0.72 | CA27, KA29 |
| CU4. Mastering in the lectured course material | 14 | 0.56 | CA28, KA29, SA38, SA39 |
| CU4. Theory lectures | 40 | 1.6 | CA28, KA29, SA41 |
| CU4. Practice sessions | 34 | 1.36 | CA28, SA38, SA42 |
| CU3. Mastering the course lecture material | 12 | 0.48 | CA28, KA29 |
| CU1. Practise sessions | 40 | 1.6 | KA29, SA40, SA42 |
| CU3. Group sessions | 6 | 0.24 | CA28, SA38, SA39 |
CU1: Logistics Information Systems (6 ECTS)
The course is organized by means of traditional lectures combined with seminars and practical work. The learning process will combine the following activities:
- Classroom sessions: include theory lectures, discussions and seminars for understanding the main using of information technologies
- Practise sessions: Laboratory works aimed to demonstrate the ability to perform assigned tasks, carrying out different tasks scenarios and comparative analysis of its results.
- Essay elaboration and presentation: In-class presentations on the essay topics related to IT in logistics with further discussions with the audience
- Autonomous work
Practical cases and essay about using information technologies to support logistics functions are used for promoting students hand on skills.
CU2: Secure E-Commerce Technologies (3 ECTS)
The course is organized by means of traditional lectures combined with seminars and practical work. The learning process will combine the following activities:
- Classroom sessions: include theory lectures, discussions and seminars for understanding the main usage, possibilities and trends of e-commerce.
- Practise sessions: Laboratory works aimed to demonstrate the ability to perform assigned tasks, carrying out different tasks scenarios and comparative analysis of results.
- Essay elaboration and presentation: In-class presentations on the essay topics related to IT in logistics with further discussions with the audience.
- Autonomous work.
Practical cases and essayabout using information technologies to support logistics functions are used for promoting students hand on skills.
CU3: Systems Analysis (3 ECTS)
The course is organized by means of traditional lectures combined with group and individual practice sessions. The learning process will combine the following activities:
- Lectures, where the basics of the theories and methods are explained
- Group practice sessions, where students can share their knowledge and train their collaborative skills in systems analysis tasks
- Individual sessions where students shall perform the tasks individually to train their independent work skills
- Individual assignments where students autonomously have fulfil the tasks without the help of the teacher.
CU4: Digital Ethics and Artificial Intelligence Interaction (6 ECTS)
The course is organized by means of traditional lectures combined with group and individual practice sessions. The learning process will combine the following activities:
- Classroom sessions: include theory lectures, discussions and seminars for understanding the ethical use of AI
- Practise sessions: Laboratory works aimed to demonstrate the ability to perform assigned tasks, carrying out different tasks scenarios and comparative analysis of its results.
- Essay elaboration and presentation: In-class presentations on the essay topics related to LSCM with further discussions with the audience
- Autonomous work
Use of Generative Artificial Intelligence Tools – Policy Statement
This module acknowledges the increasing role of generative artificial intelligence (AI) as a support tool in academic work. Accordingly, the use of such tools is permitted on a limited basis, strictly for enhancing the formal aspects of student submissions. Acceptable uses include improving writing quality, style, clarity of exposition, linguistic accuracy, and translation, as well as obtaining occasional technical assistance.
However, the use of generative AI to create the substantive content of assessed work is strictly prohibited. This includes, but is not limited to: the development of methodological approaches, the design or execution of experiments, the analysis or interpretation of results, the formulation ofideas, and the drafting of conclusions. These tasks must be carriedout entirely by the student, as they constitute the essential intellectual and creative contributions required to successfully complete the subject.
Students are required to explicitly declare the use of any generative AI tools in each submitted piece of work. This declaration must include:
- The specific tools used
- The purpose for which they were used
- The extent of their contribution
Excessive, irresponsible, or unnecessary use of such tools may negatively affect the final grade. Any undeclared or inappropriate use of generative AI may result in failure of the subject.
Assessment
Continuous assessment activities
| Title | Weight | Hours | ECTS | Learning outcomes |
|---|---|---|---|---|
| CU4. Individual research essay | 25% | 0 | 0 | CA28, KA29, SA38, SA39, SA42 |
| CU4. Execution of practical tasks | 35% | 0 | 0 | CA28, KA29, SA39, SA41, SA42 |
| CU1. Laboratory work | 25% | 0 | 0 | KA29, SA40, SA42 |
| CU2. Exam | 40% | 2 | 0.08 | CA27, KA29, SA41, SA42 |
| CU4. Exam | 40% | 2 | 0.08 | CA28, KA29, SA41, SA42 |
| CU3. Group and individual sessions | 40% | 0 | 0 | CA28, SA38, SA39 |
| CU1. Exam | 40% | 2 | 0.08 | CA28, KA29, SA42 |
| CU2. Laboratory work | 25% | 0 | 0 | CA27, SA41, SA42 |
| CU2. Individual research essay | 35% | 0 | 0 | CA27, CA28, KA29, SA41, SA42 |
| CU3. Individual home assignments/examination | 60% | 11.5 | 0.46 | CA28, KA29, SA38, SA39 |
| CU1. Individual research essay | 35% | 1 | 0.04 | CA27, CA28, SA40, SA42 |
CU1, CU2, CU3 and CU4
There are four separate final exams per module covering courses CU1, CU2 and CU3. It is comprised of theoretical questions and small cases on topics addressed throughout the semester in order to present generic understanding on logistic information systems in correspondence to learning objectives. The final exam is run in a written form or electronically; cases might require additional performance on paper or by applying specific software packages evaluated as part of the exam.
The student passes the module if the practical assignments, project and the final exam are evaluated “sufficient” (grade 4.0 corresponding to a minimum of 50% of the maximum performance per evaluation activity) at least. The student fails if performance in at least one of the evaluation activities does not reach the 50% threshold or if practical assignments and project reports are not submitted within the due date specified by the professor.
In case of fail, the student needs to retake just that part of module exam s/he failed. The decision about this is in hands of the examiner. If any of the practical assignments or the project are failed, the student will either be provided with a new assignment/project or asked to re-submit its report according to the corrections/indications provided by the professor.
Students who fail an exam may be permitted the opportunity to retake this examination twice at a maximum. After that, his/her right for examination terminates. Retaking an exam is allowed only in case the student previously failed, but not to improve grades achieved so far.
Examination dates are announced in due time, but at least two weeks prior to the respective exam. Submission deadlines for practical assignments, project reports and any presentation activities related to them are announced when giving assignments/project to students. The final exam and a first opportunity for eventuallyretaking it are scheduled within specified examination periods. Specific examination dates are published on the local LSCM website.
CU1: Logistics Information Systems (6 ECTS)
The final grade will be calculated from the assessment of different evaluation activities:
- Individual research essay: Report on the individual research about using information technologies to support logistics functions. Includes oral presentation of the research results on the essay topic
- Laboratory work: Laboratory studies in the field of logistics information technologies and systems
- Written exam. Students have to answer 2 theoretical question on the topics discussed during lectures
CU2: Secure E-Commerce Technologies (3 ECTS)
The final grade will be calculated from the assessment of different evaluation activities:
- Individual research essay: Report on the individual applied research of e-commerce technologies. Includes oral / visual presentation of the research results on the essay topic.
- Laboratory work: Laboratory studies in the field of e-commerce and logistics integration.
- Written exam. Students have to answer 3 theoretical questions on the topics discussed during lectures.
CU3: Systems Analysis (3 ECTS)
The final grade will be calculated from the assessment of different evaluation activities (note – the grading basically is made for the practical work the students do during different sessions):
- Grades obtained in group sessions
- Grades obtained in individual sessions
- Grades obtained in home assignments
- Examination (may be in the form of assignments)
CU4: Digital Ethics and Artificial Intelligence Interaction (6 ECTS)
The final grade will be calculated from the assessment of different evaluation activities:
- Grades obtained from individual research essay, includes oral presentation of the research results on the essay topic
- Grades obtained from practical assignments
- Written exam. Students have to answer theoretical question on the topics discussed during lectures
The weights of each evaluation activity are given in the table below.
Bibliography
CU1: Logistics Information Systems (9 ECTS)
- Kenneth C. Laudon and Jane P. Laudon. Management Information Systems: Managing the Digital Firm. 16th ed., Pearson Prentice Hall, 2020. ISBN:978-0135191798
- Earl H. McKinney, David M. Kroenke. Processes, Systems, and Information: An Introduction to MIS, 3rd ed., Pearson, 2019. ISBN:978-0134827001
- Keri E. Pearlson, Carol S. Saunders, Dennis F. Galletta. Managing and Using Information Systems: A Strategic Approach. 8th ed., Wiley, 2024. ISBN:978-1394215447
- Ralph Stair, George Reynolds. Principles of Information Systems. 13th ed., Cengage Learning, 2017. ISBN: 978-1305971776
- Richard Wilding. Supply Chains in Action: A Case Study Collection in Supply Chain, Logistics, Procurement and Operations Management. Kogan Page, 2019. ISBN:978-0749483708
- Christian Wurst, Luca Graf. Disrupting Logistics: Startups, Technologies, and Investors Building Future Supply Chains, 1st ed. Springer, 2021. ISBN:978-3030610951
- Logistics Information Systems. Dictionary . English. German. French. Spanish. //Ed.by E.Ginters, Vidzeme University College, 2006.
CU2: Electronic Commerce in Logistics (4,5 ECTS)
- Chaffey Dave, Edmundson-Bird D., Hemphill T.. Digital Business and E-Commerce Management. 8th Edition. Pearson, 638 pp., 2024
- Laudon Kenneth C., Traver Carol G.. E-Commerce 2023-2024: Business, Technology, Society. 18th Edition. Prentice Hall. 832 pp., 2023
- Sherif Mostafa Hashem. Protocols for Secure Electronic Commerce. 3rd Edition. CRC Press. 495 pp., 2018
- Lektauers Arnis, Merkurjevs J., Romānovs A.. Elektroniskā komercija. Mācību līdzeklis. RTU. 124 lpp., 2008
CU3: Systems Analysis (3 ECTS)
- Kendall K.E., Kendall J.E. Systems Analysis and Design. Pearson, 2013, next edition - 2019.
- Bose N.K. Multidimensional Systems Theory and Applications. Springer, The Netherlands, 2009, 292 p.
- Sandkuhl, K., Stirna, J., Persson, A., Wißotzki, M. Enterprise Modeling: Tackling Business Challenges with the 4EM Method, Springer, 2014.
- Volker Stiehl, Process-Driven Applications with BPMN, Springer, 2014
CU4: Digital Ethics and Artificial Intelligence Interaction (6 ECTS)
- European Union. Regulation (EU) 2024/1689 of the European Parliament and of the Council of 13 June 2024 (Artificial Intelligence Act). Official Journal of the European Union, 12 July 2024, http://data.europa.eu/eli/reg/2024/1689/oj
- Julie Mehan. Digital Ethics in the Age of AI: Navigating the ethical frontier today and beyond. Itgp, 2024, 266pp. ISBN: 1787785491.
- Markus Dubber, Frank Pasquale, Sunit Das. Oxford Handbook of Ethics of AI. Oxford University Press, 2021, 896pp. ISBN: 0197601448
- James Phoenix, Mike Taylor. Prompt Engineering for Generative AI: Future-Proof Inputs for Reliable AI Outputs. O'Reilly Media, 2024, 422pp. ISBN: 109815343X
- Denis Rothman. Context Engineering for Multi-Agent Systems: Move beyond prompting to build a Context Engine, a transparent architecture of context and reasoning. Packt Publishing, 2025, 396pp. ISBN: 1806690055
- Chip Huyen. AI Engineering: Building Applications with Foundation Models. O'Reilly Media, 2025, 532pp. ISBN: 1098166302
Software
- Modelling Software Aimsun https://www.aimsun.com/
- Vitech Core Modelling Software https://www.vitechcorp.com/
Course groups and languages
The information provided is provisional until November 30. After this date, you will be able to consult the language of each group through this link. To access the information, you will need to enter the course CODE