Lecturer Dr. Fux Adi
Courses
- סמינר במערכות מידע ותעשייה חכמה (40001) תקציר הקורס:
- מיומנויות הנדסיות בעידן ה-AI (40012)
- ניהול פרויקטים (40108) תקציר הקורס:
- תכנון מערכות ניתוח וקבלת החלטות בארגון (40211) תקציר הקורס:
- ניהול פרויקטים ומערכת (66007) תקציר הקורס:
- משחק עסקים (66111) תקציר הקורס:
- ניהול שרשרת אספקה ולוגיסטיקה מתקדמת (66112)
Abstract:
Each student will be required to choose a topic in operation management from a list of topics that will be provided by the course coordinator at the beginning of the semester. Analyzing and writing will be done, using generative AI, and the student will present the relevant AI prompt, used to define the results. At each meeting, one student (or more) will present his or her topic based on relevant academic literature. The class will be required to submit a written relevant review concerning the lecture. The students will be required to conduct a lecture diary, which will relate to each lecture - content, understanding, process, and discussion. At the end of the semester, each student will submit the lecture diary, adding introduction and summary chapters. The introductory chapter will relate to the entire seminar and will present the variety of lectures that were given. The concluding chapter will include a review of the lecture topics.Abstract:
Project management today is a complex task, requiring institutionalized and sophisticated tools, which include aspects of content planning, quality, schedules, resource allocation, and costs. With the help of tools such as MS-Project for advanced management of schedules and Monday for managing teams and tasks in a collaborative way, students will learn more efficient ways to manage projects.
The field of project management is developing at a fast pace with high market demands for optimal planning and control. Many organizations are adopting computerized tools and methods, including AI, which enable accurate management and optimization of resources. The international standardization in the field, such as PMBOK, provides a structured framework for project management, and helps support managers with tools for informed decisions and higher efficiency. The program is aimed at imparting tools and learning how to use them in management contexts, with an emphasis on integrating modern technologies to optimize processes and generate insights in real time.
As part of the course, the students will be required to write an initiation document for the project, which will be submitted personally, using AI capabilities for definitions, planning, forecasting and control. In the second part of the course, project teams will be assigned to carry out project characterization, based on the initiation documents they will receive. The teams will be required to write a characterization document, present it in class and give a peer evaluation to the presentation of other groups, based on defined criteria.
The course focuses on knowing basic concepts from the world of project management, while learning methods for managing, monitoring and controlling projects. In addition, it demonstrates advanced approaches and techniques, including AI integration, that help project managers succeed and implement advanced processes.
Abstract:
The course “Designing Decision Analysis and Support Systems in Organizations” aims to provide students with a comprehensive understanding of the development, application, and integration of DSS in organizations, with emphasis on healthcare.
The first part of the course covers DSS models and infrastructures, including decision trees, rule-based systems, what-if analysis, and integration of internal and external data sources. DSS play a central role in supporting complex decisions not addressed by standard information systems (Musen, Middleton, & Greenes, 2021; Sutton et al., 2020).
The second part introduces Process Mining, focusing on process analysis through event logs, detection of deviations, and deriving insights from data. Recent research has highlighted how users interact cognitively and behaviorally with such tools (Ammann et al., 2025), and how explainable predictive process monitoring has advanced in recent years (Rizzi et al., 2024). The growing trend of integrating Process Mining with AI to support predictive and prescriptive decision-making will also be discussed (Chapela-Campa et al., 2023).
In the final part, the course demonstrates how insights derived from Process Mining can be translated into intelligent DSS models, integrating machine learning, natural language processing (NLP), and explainable AI approaches. The process aims to assist in decision reasoning, explaining how decisions are derived. During the semester, students will practice with tools such as Disco, ProM, Python + pm4py, analyze medical datasets, and develop intelligent DSS models that integrate data, processes, and decision recommendations.Abstract:
In the current technological era, intra-organizational entrepreneurship and professional project management form the main growth lever of various organizations. Engineers and managers are required to initiate and promote new ideas while analyzing the internal and external customers' needs. Project managers and engineers require to develop entrepreneurial abilities, and soft management skills, in addition to mastering control and monitoring tools for various projects.
As part of the course, we will present advanced topics in project management: internal organizational innovation, leadership, change management, quality, stakeholder management, project communication, outsourcing, project contract management, development models, organizational politics, portfolio management, and more. As part of the curriculum, the use of AI systems will be integrated, according to the changing needs of the various processes and the appropriate purpose.
As part of the course, each student will perform an analysis exercise that combines the definition of requirements and an analysis appropriate to the needs that will be defined. The project in the course will be based on a topic proposed by a team, which will be approved by the lecturers. As part of the requirement, each student will be required to submit a peer evaluation document for the other projects that will be presented.