1. Analysis & Development of IS Services / Applications
This course presents and analyzes various approaches to information analysis and development of organizational information systems within a system development life-cycle (SDLC), e.g. the waterfall, concentric, Agile, Scrum, DevOps, and prototyping approaches. Topics include strategic planning for SDLC, front-end and back-end phases of SDLC, project management, CASE methodologies, full-stack programming, Agile, Scrum, DevOps, and balancing user, organizational, and technical considerations.
2. Integrating IT Services
This course focuses on ways of designing an integrated enterprise architecture. The course explains the different forms of corporate information systems and their interaction. Mainframe systems and Cloud will be the focus of the architecture. While in the past, mainframe systems were often self-contained, in current systems, it is more likely that such systems are part of an overall architecture including many smaller hardware devices and operating systems. The participant will learn about the building blocks of current enterprise architectures, and then will learn how to connect them to solve the problems of large companies.
3. Fundamentals of SW Engineering
Introduces software engineering from a quantitative—analytic and metrics-based—point of view. Become acquainted with software life-cycle process models (e.g., SDLC, full-stack programming, Agile, DevOps, Scrum) from those demanded by very large projects, to the lightest in extreme programming. Skillfully apply industry-standard software engineering tools. Engage creatively in teamwork, project planning, and object-oriented analysis and design. Probe case histories in project-oriented scenarios.
4. SW Estimation & Measurement
The purpose of this course is to prepare participants with the essential considerations for software estimation and measurement. The focus is on applying proven methods, tools, techniques and models that have been shown to demonstrate value to the software estimation and measurement process to both IT and non-IT stakeholders. The important techniques such as analogy, top-down, bottom-up, and expert judgment will be covered. The use of models for developing estimates, performing “what-if” analysis, bounding risks, and conducting a variety of trade studies will also be highlighted, as will the metrics that can be used to pinpoint status and assess progress. The course uses a variety of examples, case studies, and hands-on exercises to develop estimating skills, knowledge and abilities, including the use of actual cost model cases developed using the public domain COCOMO II model, to highlight their use and value to the developer. Participants will leave the course fully prepared to develop or validate a software estimate, assess their status, and progress and predict whether or not they will be delivered on-time and on budget, as well as meet the project functional requirements.
5. SW Requirements Analysis
One of the least understood and most difficult phases in software development, requirements acquisition is an especially high hurdle because stakeholders are often unclear about objectives. Learn how to identify stakeholders and how to elicit and verify their requirements for new or extended software products. Introduces analysis and modeling as the first steps in software design. Receive a though understanding of quality assurance. A case-history and project-oriented course, exploiting industry-standard software tools.
6. SW Testing and Quality Assurance
Effective software testing is the hallmark of trustworthy software systems. In this course, participants learn about the various modes of testing needed for quality software systems, including:
- Getting an intensive look at real-world software testing coupled with a liberal number of case histories.
- Building a library of test cases using call setup, clearing, restart, and reset state diagrams.
- Learning to appreciate boundary conditions in structural and functional testing.
- Testing two sorting routines to determine if boundary conditions and performance requirements are met.
- Building test cases with orthogonal array tables.
- Exploring alternative test approaches, such as negative testing and risk-based testing, to certify software reliability.
7. Advanced Agile & DevOps Methods for Software Development
In software initiatives where project areas require exploratory development efforts, with complex requirements, and high levels of change, agile software development practices are highly effective when deployed in a collaborative, people-centered organizational culture. This course examines Agile methods, including Extreme Programming (XP), Scrum, Lean, Crystal, Dynamic Systems Development Method and Feature-Driven Development to understand how rapid realization of software occurs most effectively. The ability of agile development teams to rapidly develop high quality, customer-valued software is examined and contrasted with teams following more traditional methodologies that emphasize planning and documentation. Candidates will learn advanced full-stack programming, Agile and DevOps development principles and techniques covering the entire software development life-cycle from project conception through development, testing, and deployment; they will be prepared to effectively participate in and manage Agile and DevOps software development initiatives using these evolving methodologies.
8. Engineering Applications for the Cloud
This course introduces the concepts that are the fundamental properties of applications in the cloud including “autonomy”, “elasticity”, and “statelessness”. It also presents proven guidelines for how to build new components and how to integrate existing applications to leverage the new opportunities provided by Cloud.
After completing this course, participants will understand how to address the major challenges to build scalable and highly available applications in the cloud. They will learn how to achieve scalability based on coupling the components of an application in a “loose manner”, including the major technological underpinning to achieve loose coupling; message queuing. It became clear that avoiding keeping state within components is another key contributor to scalability and high availability. This implies to exchange state within messages. Workload management and watchdog techniques are understood as important for elasticity. The course focuses on the set of best practices to attain significant value from Cloud applications.