Overview
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The Information Systems Foundations specialization provides an immersive experience into software development and information systems across four courses. Designed to progressively build from basic concepts to advanced applications, it aims to arm you with practical skills in software engineering, domain modeling, and Python programming. Beginning with advanced software engineering techniques and systems thinking, this specialization advances through object-oriented programming, culminating in hands-on Python projects that tackle real-world problems. Throughout this specialization, you'll master the art of modeling significant business applications swiftly and effectively, preparing you for challenges in the professional world of information systems.
Syllabus
- Course 1: Introduction to Software Development and Applications
- Course 2: Introduction to Domain Models
- Course 3: Basic Programming in Python I
- Course 4: Basic Programming in Python II
Courses
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This hands-on Python programming course offers students an opportunity to obtain proficiency in the core concepts of Python as well as the programming skills for building applications using tools from various task-specific Python libraries. The course covers important topics in computer science and information systems such as data types, reading and writing to standard IO, using operators, controlling the flow of execution, using functions, reading and writing Python source code files, basic object-oriented programming concepts, and more. You will be introduced to preliminary topics in data science and explore the process of building a web application using Python. You will complete hands-on programming tasks using your creativity and learn how to apply Python to resolve real-world problems.
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This hands-on Python programming course offers students an opportunity to obtain proficiency in the core concepts of Python as well as the programming skills for building applications using tools from various task-specific Python libraries. The course covers important topics in computer science and information systems such as data types, reading and writing to standard IO, using operators, controlling the flow of execution, using functions, reading and writing Python source code files, basic object-oriented programming concepts, and more. You will be introduced to preliminary topics in data science and explore the process of building a web application using Python. You will complete hands-on programming tasks using your creativity and learn how to apply Python to resolve real-world problems.
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This course is a continuation of the Introduction to Software Development and Applications course. In this course, you will dive further into exploring software engineering techniques and their application to real-world business problems. Students who take this course will be equipped with practical design and programming techniques for the purpose of modeling significant business applications quickly. In this course you will learn about constructing domain models. You will also refine your skills to employ systems thinking, the object-oriented paradigm, the visual programming technique, as well as productivity tools to put together complicated, powerful designs. We will practice simple and smart ways of making software programming enjoyable.
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The primary objectives of this course are to introduce software engineering techniques and their application to real-world business problems. You will be equipped with practical design and programming techniques for the purpose of modeling significant business applications quickly. In a step-by-step manner, the instructor will take you through the process of systematically combining object-oriented programming techniques, business processes, and complex data models to assemble models that are user friendly and meet business requirements. You will learn how to employ systems thinking, the object-oriented paradigm, the visual programming technique, as well as productivity tools to put together complicated, powerful designs. We will practice simple and smart ways of making software programming enjoyable.
Taught by
Kal Bugrara and Yizhen Zhao