Thick Black Theory of Win the interview at the bottom for CS NPEE

计算机考研复试抄底厚黑学

SPRING 2022 Seminar

As we all know, participating in the NPEE (National Post-graduate Entrance Examination) and getting a good score is only a ticket to the reexamine or interview actually. There are many cases in which high scorers are eliminated in the retest. It's not that they didn't work hard or are not excellent, but that they didn't find then use the right method. Hence, it is very important to carefully prepare for the interview.

In this course, we will talk about how to prepare the retest, especially interview. We will explore how to make an effective introduction letter and brand yourself. In particular, we will discuss make an excellent Résumé or CV (Curriculum Vitae). We will also discuss how computer scientists and engineers are using machine learning to design state-of-the-art hardware and software security platforms. In particular, we will cover topics such as Artificial Intelligence, Computer System, Network, Open Source and Security. After completing the course you should be able to appreciate the new trends of using thick black-driven techniques and skills in both interview and reexamine and should be prepared to start your own graduate career.

New! We have started using TencentMeeting to accommodate remote friends.

 Lectures:
 Tuesday/Thursday/Saturday
 8:30pm-9:45pm
 Virtual, TencentMeeting

 Instructor:
 Jing LI, 李敬
 Cyber Security, IIECAS, China
 [email protected]

 Teaching Assistant:
 Zhilu WANG, 汪芷璐
 Computer Architecture, IIECAS, China
 [email protected]

 Office Hours:
 Weekday 7:00-8:00pm
 Virtual, WeChat

 

News

  • 03/31/2022: Course complete 🌸🌸 A total of 170 students from over 100 universities in Chinese mainland choose this course, and average score of evaluation is 4.65/5.00.
  • 03/29/2022: Course E-Certificate Apply is open!
  • 03/20/2022: Résumé Submit deadline! We received a total of submissions 70 reviews with average Overall merit score 4.06.
  • 03/01/2022: Résumé Submit Website is up!
  • 02/28/2022: Todo: Teaching Assessment
  • 02/26/2022: First day of classes. Todo: Class Statistics Survey
  • 02/24/2022: Class Website is up!

 

Tentative Schedule  

 
Date Topic Presenter Notes
02/26/2022
Lecture 1 : Introduction

复试面试的重要性, 抄底厚黑学思维

 Jing Li
[Slides]
[Video] 		Todo: Class Statistics Survey
  TencentMeeting Link
03/05/2022
Lecture 2 : Résumé and Brand Yourself

如何优雅制作有效简历, 社交牛逼症, 套磁的艺术, 恰到好处的恭维, 包装自己的品牌

 Jing Li
[Slides] [Video] 		Todo: 【重要🤔】 简历 submit 入口
  TencentMeeting Link
03/27/2022
Lecture 3 : Basic of Artificial Intelligence Security

人工智能基础、对抗机器学习、最佳实践串讲

 Jing Li
[Slides] [Video] 		TencentMeeting Link
Related Reading: 
  20200916-第一讲 人工智能概述-沈华伟
  20200917-Chapter 1 Introduction 机器学习-周晓飞
  20200917-Lecture02_自然语言处理概述-刘洋
  20201024-用户隐私，数据孤岛和联邦学习-杨强
  20210603-有关人工智能的几个认识问题-李国杰
  20210701-D21_ML_IC-陈春章
  20210716-第2章第3节-基于人工智能的多媒体分析及应用-岳银亮
03/29/2022
Lecture 4 : Basic of Cyber Security

计算机科学基础知识、网络空间安全基础、最佳实践串讲

 Jing Li
[Slides] [Video] 		TencentMeeting Link
Related Reading: 
  20110306-课程7 Windows系统攻防技术-诸葛建伟
  20161021-云计算与标签化冯诺伊曼结构-包云岗
  20190903-漏洞利用与攻防实践 第 1 次课 课程引言-霍玮
  20200915-课程1 从安全视角认识软件-邹维
  20200916-LEC01_计算机系统结构基础-胡伟武
  20210723-Web应用安全的发展和未来-刘沛旻
  20200923-从技术体系角度看中国IC的突围之路-韩银和
  20201027-第二讲 网络与系统安全的需求与目标-荆继武
 

 

Resources

Tutorials
Tools
Text Books
  • Randal E. Bryant and David R. O'Hallaron, "Computer Systems: A Programmer's Perspective, 3/E (CS:APP3e)" (website)
  • Ian Goodfellow, Yoshua Bengio and Aaron Courville, "Deep Learning", MIT Press (website)
  • Mu Li, "动手学深度学习v2" (website)
  • 鳥哥, "鳥哥的Linux私房菜" (website)
  • 数智安全研究院, "物联网安全百科" (website)