Khoa Công Nghệ Thông Tin
Information theory, inference, and learning algorithms
1. Data. 2. Noisy-channel coding. 3. Further topics introduction theory. Probabilities and inference. 5. Neural networks. 6. Sparse graph codes. 7. Appendices.
- Vị trí lưu trữ: 03 Quang Trung
- Tổng sách: 5
- Đang rỗi: 5
Introduction to computing systems : from bits and gates to C and beyond : 2nd ed. (New)
1. Welcome aboard; 2. Bits, data types and operations; 3. Digiatal logic strutures; 4.The von N eumann model; 5. The LC-3; 6. Programming; 7. Assembly language; 8. I/O; 9. TRAP routines and subroutines; ...
- Vị trí lưu trữ: 03 Quang Trung
- Tổng sách: 5
- Đang rỗi: 5
Microsoft Office 2016 at work for dummies
Including 17 chapters: Getting toknow office; Creating a word document; Paragraph formatting; Formatting sections, pages, and documents; Working with Tables and graphics in word; References and mail merges in word; Creating basic excel worksheets; Creating excel formulas and functions; Formatting ...
- Vị trí lưu trữ: 03 Quang Trung
- Tổng sách: 2
- Đang rỗi: 2
Project 1. Becoming a programmer; Project 2. Gathering the parts to build your robot's body; Project 4. Giving your robot style; Project 5. Animating your robot; Project 6. Creating a JavaScript word game.
- Vị trí lưu trữ: 03 Quang Trung
- Tổng sách: 1
- Đang rỗi: 1
Including contents: Introduction; Scratching the surface; Where in the world is Scratch?; Using control blocks; Using sensing blocks; Using event blocks; Variables and lists; Using operators in Scratch; Using graphics and the pen; Building your own blocks; Making and using sounds and music; ...
- Vị trí lưu trữ: 03 Quang Trung
- Tổng sách: 2
- Đang rỗi: 2





