(such as Android Studio) needed to develop Java programs and useful Android apps. Learners will work on several hands-on projects throughout the MOOC, i.e., each week will require learners to write solutions to programming assignments that reinforce the material covered in the lecture videos. ...
This course covers the essential information that every serious programmer needs to know about algorithms and data structures, with emphasis on applications and scientific performance analysis of Java implementations. Part I covers elementary data structures, sorting, and searching algorithms. Part II focus...
课程2 Running Product Design Sprints Typically, clients and managers don't want to pay for design (or strategy) -- they want ‘results’! Too often, this leads to solutions that just don’t make sense and aren’t valuable to anyone. Design sprints allow you to meet client's desire for...
To accomplish these tasks, you will learn the basics of Java syntax and how to design stepwise solutions with programs. By the end of this module, you will be able to: (1) Download and run BlueJ, the Java programming environment for this course; (2) Access the documentation for the ...
2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13. 14. 15. 代码解析 定义函数:find_cubic_solutions(limit),接收一个参数limit,表示我们要探索的数的上限。 三重循环:依次遍历 ( a, b, c ) 的值,确保 ( b ) 大于或等于 ( a ) 和 ( c ) 大于或等于 ( b ),以避免重复。
Learners will be given a business case where they will be required to assess the business objectives of the firm, and apply the course learning to evaluate and identify a portfolio of technology solutions that is aligned with the business strategy of the firm....
Module 2: Exploring Solutions Lab 1: Remote Monitoring Solution Accelerator Lab 2: Customize a Solution Accelerator Lab 3: Connected Factory and IoT Module 3: Requirements and RFPs Lab 1: Understanding Requirements Lab 2: Understanding an RFP Lab 3: Responding to an RFP Module 4: Proof of Val...
- Formulate formal solutions to well-defined problems using the logic of a programming language - Implement formal solutions in Java using an integrated development environment - Understand the basics of data abstraction using the object-oriented framework Syllabus Module 06: Multidimensional Arrays, Simpl...
Course 2 of 3 in the Parallel, Concurrent, and Distributed Programming in Java Specialization. Syllabus WEEK 1 Welcome to the Course! Welcome to Concurrent Programming in Java! This course is designed as a three-part series and covers a theme or body of knowledge through various video lectures...
-Describe the notion of sparsity and how LASSO leads to sparse solutions. -Deploy methods to select between models. -Exploit the model to form predictions. -Build a regression model to predict prices using a housing dataset. -Implement these techniques in Python. 课程3 Machine Learning: ...