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Pi j1.0 workshop-introduction
- 1. Programming in Java 5-day workshop Workshop Introduction Matt Collison JP Morgan Chase 2021 PiJ0.1: Workshop Introduction
- 2. Session overview Welcome • Round table introductions Module Overview • What is the course aim? • What will we cover? • How do I engage with learning on this course? Pre-workshop survey and Q&As
- 3. Introduction Dr Matt Collison Lecturer in Computer Science m.collison@exeter.ac.uk Research interests • Computer Science pedagogy • Data systems • Bioinformatics • Microbiome research Teaching • ECM1400 Programming • ECM2434 Software Engineering Group Project • BSc Computer Science Programme director
- 4. Aim… …to introduce Java as a new programming language and provide a foundation in the object-oriented programming paradigm
- 5. What does that look like? • Be familiar with the fundamental concepts and tools for programming and Java • Be capable of problem solving with code, specifically Java • Be able to decompose a problem • Learn to be self sufficient • Know how to ask the right questions – almost all questions have been asked before usually in a different way
- 6. What will you learn in this workshop?
- 7. Fundamentals The basic constructs that make up the building blocks of python A set of techniques that can be employed to overcome common challenges. Design Patterns Data Structures The way we can access and store structured information. Control Flow How to order the execution of your code and algorithms. Each dimension requires a different type of knowledge and skills. Individuals can excel at any one A competency framework for programming
- 8. Foundations • What is Java and the JVM • Variables and programs • Primitive types and literals • Classes and objects • Methods • Constructors • Inheritance and privacy
- 9. Control Flow • if statements • switch case • for loops • while loops • Conditional logic • Operators
- 10. Data Structures • Arrays • Collections • Lists • HashMaps • Slicing and dicing data • Mutability
- 11. Design Patterns • Exceptions • Testing • Build tools • Dependencies • The Java Software Lifecycle
- 13. What can you expect? Teaching methods and materials
- 14. Competency-based learning • Lessons – introduce the concepts • The known knowns – Here is X • Practical – provide practical examples • The known knowns and known unknowns – Experimenting with X • Cohort Q&A sessions – clarification • The known unknowns – I don’t understand X • Group project – exploratory problem-based learning • The unknown unknowns
- 15. Synopsis – what’s it all about
- 16. From here…
- 17. To here…
- 18. Finish up here
- 19. Learning resources The workshop homepage https://mcollison.github.io/JPMC-java-intro-2021/ The course materials https://mcollison.github.io/java-programming-foundations/ • Session worksheets – updated each week
- 20. Additional resources • Think Java: How to think like a computer scientist • Allen B Downey (O’Reilly Press) • Available under Creative Commons license • https://greenteapress.com/wp/think-java-2e/ • Oracle central Java Documentation – https://docs.oracle.com/javase/8/docs/api/ • Other sources: • W3Schools Java - https://www.w3schools.com/java/ • stack overflow - https://stackoverflow.com/ • Coding bat - https://codingbat.com/java
- 21. Continuous improvement and issue tracking Pre-workshop survey - 2245 1226 https://www.menti.com/pdybdux6h2
Notes de l'éditeur
- Big questions - – what motivates the module
- Most people put a picture of their face but you can already see that so here are my dogs. I really enjoy speaking to students. I specialise in teaching. Lecturing is difficult to engage with each student so please come and talk to me. Timing and perspective.
- It doesn’t look like other subjects Asking questions in Google is crucial to being a good programmer Time and time again you will come up against a problem that you simply can’t answer. Someone else will find the answer because they knew how to ask the right question
- All competencies are linked and overlap. They each require different - knowledge and - skills
- Foundations is about understanding how to define the language. Declaring the basics. Knowing what the rules of the language are. Information heavy knowledge based things. Like learning the words of a new language.
- Control flow is about how to control the language The contructs of the language. How to design algorithms and behavior. There are some rules but this is often bespoke. Decomposing a problem. Control behavior
- Data structures is about how to integrate the algorithm with stuff. The best way to capture information. Often optimization and imposing structure. The difference between ordering things and doing thing in an order.
- Examples of good practice for (relatively) complex problems. Allow you to programme in a more resilient, reliable Condense it all down into something useful and practical. Pragmatism is a key principle in the development of python More creative guidelines. Examples of how these have been addressed. Pythonic design patterns are well defined.
- Actually these are hierarchical. As you will notice there is depth and breadth. If you have learnt some of these before you will have to practice applying them. Learn the limitations and practicalities rather than the definitions.
- Workshops are more practical so it is difficult to know if you know it but you know what you are trying to achieve. One to one help for this phase.
- Many of you will be comfortable using computers although few of you will be confident programmers. The module aims to give you the basic knowledge and confidence to get stuck in and make a start.
- Once you’ve got a bit of confidence you’ll know enough to be dangerous. You will be able to make some headway although you will inevitably make some mistakes along the way. Programming will happen although it probably won’t be fluent because much of what you are doing is still new.
- By the end of the module both you and I will be confident in your programming abilities
- All resources hang from the ELE pages. How many of you have looked through them?
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