《IT技术前沿》教学大纲


课程代码

045101451

课程名称

IT技术前沿

英文名称

IT Frontier Technology

课程类别

专业基础课

课程性质

必修

学时

总学时：16实验学时：0实习学时：0其他学时：0

学分

1

开课学期

第一学期

开课单位

计算机科学与工程学院

适用专业

计算机科学与技术、网络工程、信息安全

授课语言

中文授课

先修课程

无

毕业要求（专业培养能力）

本课程对学生达到如下毕业要求有如下贡献：

  1. 设计/开发解决方案：设计/开发解决方案：能够设计针对复杂与计算机相关工程问题的解决方案，设计满足特定需求的系统、单元（部件）或工艺流程，并能够在设计环节中体现创新意识，考虑社会、健康、安全、法律、文化以及环境等因素。

  2. 研究：能够基于科学原理并采用科学方法对与计算机相关复杂工程问题进行研究，包括设计实验、分析与解释数据、并通过信息综合得到合理有效的结论。

  3. 沟通：能够就与计算机相关复杂工程问题与业界同行及社会公众进行有效沟通和交流，包括撰写报告和设计文稿、陈述发言、清晰表达或回应指令。并具备一定的国际视野，能够在跨文化背景下进行沟通和交流。

  4. 终身学习：具有自主学习和终身学习的意识，有不断学习和适应发展的能力。


课程培养学生的能力（教学目标）


完成课程后，学生将具备以下能力：

  1. “IT前沿技术”的教学基本要求是通过专题讲座方式、针对性的让学生了解当前计算机学科的主流发展方向以及热门前沿技术；[1、2]

  2. 达到拓展学生知识面、激化学生积极性、培养学生专业责任感和自豪感之目的。[3、4]


课程简介


“IT前沿技术”是计算机学科各专业的学科基础课，必修课。通过该开放式专题讲座课程，熟悉计算机各个前沿领域的发展方向和动态。课程采用外聘计算机专家学者主题报告的方式，结合其个人研究方向和研究成果，向学生介绍该前沿技术的目前国内外的研究进展情况，研究热点，关键技术等等。


教学内容与学时分配


  1. 计算机应用技术（三次讲座）

6学时

可选报告讲座主题包括：计算机网络、物联网、传感器网络、实时计算机应用、计算机图形学、网络信息安全、数据库、情感计算、数据挖掘、分布式计算、知识工程、计算机视觉、自动推理、机器学习、信息可视化、语义搜索引擎、自然语言处理、机器翻译、搜索引擎等。

  1. 计算机软件与理论（三次讲座）

6学时

可选报告讲座主题包括：计算理论、算法理论； 软件工程、中间件、智能软件、计算环境；并行计算、网格计算、云计算、普及计算；密码学、信息安全、数据理论；图形图象算法、可视化方法、人工智能等。

  1. 计算机系统结构（两次讲座）

可选报告讲座主题包括：

高性能处理机系统结构、多机系统、并行计算与分布式计算系统、计算机系统性能评价、VLSL设计、容错计算技术、计算机接口技术、计算机网络系统与通信系统、移动计算、全球个人计算系统等。


实验教学（包括上机学时、实验学时、实践学时）

无

教学方法

报告讲座

考核方式

论文报告。课堂表现与考勤30%，报告70%。

教材及参考书

讲座资料

制定人及制定时间

王昊翔，2019年5月19日

  “IT Frontier Technology” Syllabus

Course Code

045101451

Course Title

IT Frontier Technology

Course Category

Specialty Basic Course

Course Nature

Compulsory Course

Class Hours

16 teaching sessions

Credits

1

Semester

The first semester

Institute

School of Computer Science and Engineering

Program Oriented

Computer science and technology, network engineering, information security

Teaching Language

Chinese

Prerequisites

None

Student Outcomes

 (Special Training Ability)

  1. Design/Development Solutions: An ability to design solutions for complex engineering problems and innovatively design systems, components or process that meet specific needs with societal, public health, safety, legal, cultural and environmental considerations.

  2. Research: An ability to conduct investigations of complex engineering problems based on scientific theories and adopting scientific methods including design of experiments, analysis and interpretation of data and synthesis of information to provide valid conclusions.

  3. Communication: An ability to communicate effectively on complex engineering problems with the engineering community and with society at large, such as being able to comprehend and write effective reports and design documentation, make effective presentations, give and receive clear instructions, and communicate in cross-cultural contexts with international perspective.

  4. Lifelong Learning: A recognition of the need for, and an ability to engage in independent and life-long learning with the ability to learn continuously and adapt to new developments.

Teaching Objectives

  1. To enable students to understand the main development direction and hot leading-edge technology of computer science. [1, 2]

  2. To achieve the goals of expanding students' knowledge, intensifying students' enthusiasm and cultivating students' professional sense of responsibility and pride. [3, 4]

Course Description

"IT Frontier Technology " is a basic and compulsory course for all majors of Computer Science. Its guide course is the introduction to computer science. With the open special lectures, students become familiar with developmental direction and dynamic in each current hot fields of information technology.

It employs internal and external experts and scholars in all advanced technology areas of computer science as the form the theme reports for the computer science students, combined with their individual research orientation and achievements, the course introduces students to the current research progress, research hotpots and key technology of the frontier technology at home and abroad.


Teaching Content and Class Hours Distribution

  1. Computer Application Technology（three lectures, 6 teaching sessions）

Three topics chosen from following areas:   

Computer Network ,The Internet of things Sensor Networks ,Real-time Computer Application ,Computer Graphics ,Network Information Security  ,Database ,Affective Computing ,Data Mining ,Distributed Computing ,Knowledge Engineering ,Computer Vision ,Automated Reasoning ,Machine Learning ,Information Visualization ,Semantic Search Engine ,Natural Language Processing ,Machine Translation ,Search Engine ,etc.

  1. Computer Software and Theory（Three lectures, 6 teaching sessions）

Three topics chosen from following areas:   

Theory of Computation, Algorithm Theory; Software Engineering, Middleware, Intelligence software, Computing Environment; Parallel Computing, Grid Computing, Cloud Computing, Pervasive Computing; Cryptography, Information Security, Data Theory; Graphic Image Algorithm, Visualization Methods; Artificial Intelligence, etc.

  1. Computer System Architecture（Two lectures, 4 teaching sessions）

Two topics chosen from following areas:   

Structure of High-performance Processor System, Multi-machine System, Parallel Computing and Distributed Computing System, Performance Evaluation of Computer Systems, VLSL design, Fault-tolerance Computing Technology, Computer Interface Technology, Computer Network System and Communication System, Mobile Computing, Global Personal Computing System, etc.


Experimental Teaching

None

Teaching Method

Lectures and talks

Examination Method

Report 70%, Participation and attendance 30%

Teaching Materials and Reference Books

Lecture notes and slides

Written by and date

Wang Haoxiang, 05/19/2019