Blog Archives

The AI team take a deep dive into a research paper which explores the design and implementation of a “balanced classroom” approach to systems engineering education. The author, drawing on years of teaching experience and systems engineering principles, argues that traditional lecture-based methods are ineffective and proposes a system that integrates various pedagogical techniques, including flipped classrooms and authentic learning activities. The research investigates the effectiveness of different teaching methods and delivery modes (synchronous/asynchronous), analyzing … Continue reading →

The AI team take a deep dive into Tom Gilb’s presentation to the BCS in July 2024 on AI quality which advocates for a multidimensional approach to evaluating AI systems, moving beyond vague descriptions. He argues that current AI models are defective due to inherent instability and a lack of transparency. Gilb proposes using quantifiable metrics for qualities like transparency and security, incorporating a stakeholder model for a more comprehensive understanding. The presentation emphasizes the need for measurable standards to assess AI systems effectively, contrasting Large … Continue reading →

Our AI team takes a deep dive into a 2023 webinar presentation by Professor Joseph Kasser who argues that the traditional approach to writing system requirements is fundamentally flawed and proposes an alternative: Object-Oriented Systems Engineering (OOSE). OOSE replaces text-based requirements with object properties managed within an Integrated Information Environment (IIE), aiming to improve communication, reduce errors, and increase project success rates. The presentation details OOSE’s four-stage system development process and highlights its advantages over … Continue reading →

The AI team take a deep dive into the case study on the successful system design process of the LuZ SEGS-1 solar power system’s control and electronics in 1981, using a modified Functions Requirements Answers and Test (FRAT) approach. The author, Joseph Kasser, uses the SEGS-1 project as a case study to illustrate how FRAT facilitates understanding the relationships between system functions, physical decomposition, and requirements. The paper presents several design choices and their rationales, … Continue reading →

Our AI team takes a deep dive into a 2013 conference paper which critiques Model-Based Systems Engineering (MBSE), arguing that it largely rehashes existing systems engineering principles from a more holistic perspective. The author contends that MBSE’s focus on modeling overlooks the potential of advanced information technology to improve systems engineering tools. The paper proposes integrating existing research to enhance these tools with “smart” capabilities such as improved requirements management and risk assessment. It advocates … Continue reading →