108 Academic Year (2019 Admission) NDHU CSIE International Undergraduate Program Planning

108 Academic Year (2019 Admission) NDHU CSIE International Undergraduate Program Planning

University Requirements:

See Academic Regulations (學則) and General Education Requirements of NDHU.

General Education Requirements:

Including Language subjects 9 credits, Physical Education 4 credits, Service Learning 2 credits, Information Technology 2 credits, General Education Fundamental Course 20 credits, and other credits from Dept of CSIE, with at least 132 total academic credits to graduate.

See Full List of NDHU Core Curriculum Requirements starts from 2019 school year for detail.

Departmental Requirements:

I. In addition to the General Education Requirements from the University, students are required to take 3 Major Programs and at least one of two Professional Elective Programs(as a declared major) from the Department of CSIE, or any program-set from any department (deemed as a minor), and study at least 132 total credits in order to graduate.

II. Important Rules and Regulations:

A. To graduate with a Bachelor Degree in Computer Science and Information Engineering, all students must fulfill the General Education Requirements and complete 4 curriculum programs:
Fundamental Program of Electrical Engineering and Computer Science:23 credits
Core Program of Computer Science (I):26 credits
Core Program of Computer Science (II):23 credits
and one Professional Elective Program: (alternative)
Program of Multimedia and Intelligent Computing:21 credits
Program of Network and System:21 credits
and study a minimum of 132 credits.

At least half of the 132 credits must be taught in English.

The professional elective programs can be any curriculum module offered by the CSIE or other departments.

B. CSIE Students must take compulsory language credits and pass the English Proficiency Requirements set by the University, such as: LTTC-GEPT (Intermediate or above), TOEFL iBT (above 61), TOEFL ITP (above 500), TOEIC (above 600) or equivalent criteria listed on the Language Center website, as the NDHU Graduation Requirement. Students who pass the exams have to confirm their scores with the NDHU Language Center and may waive the certain requirement.
Please confirm with NDHU Language Center for details.

C. Students who fail the English Proficiency Requirements have to study 2 additional English courses (about 4~6 credits) from General Education courses, the English department, or any department offers the English-Taught courses. The courses must be approved by the Language Center. Those additional credits cannot be counted into the compulsory credits in the Language field, but can be counted toward the total graduation credits.

D. Credits earned in courses of the same name offered by other departments or institutes may be counted toward degree requirements with the approval of the Departmental Education Committee.

E. The maximum credit load per semester is 24 credits with the exception of Physical Education, Military Training, and Service Learning. The maximum credit load can be increased to 27 credits per semester for those in the top 25% ranking of their respective classes.

F. All Students must successfully complete Service Learning (I) & (II) offered by Dept. of CSIE before graduation.

G. All Students must successfully complete and pass Introduction to Computer Programming (I) and (II), Lab of Programming (I) and (II), Data Structure, Lab of Data Structure, Algorithm Design and Analysis, and Lab of Algorithm classes before graduation.

H. All students must pass the Primary Programming Proficiency in order to graduate.

I. For any students come from 5-year Middle School(Junior High)/High School education system, must take an additional 12 credits (as total 144 credits) to graduate. These 12 credits can be from any departments.

J. In addition to this requirement, all scholarship awardees must follow the scholarship regulations and requirements to complete the degree.

K. All students admitted for Fall 2017 and after, should complete the cross-disciplinary self-learning credit certification. Detailed rules and regulations about this certification, please refer to the “Guidelines for Cross-Disciplinary Self Learning Credit Certification” of the Office of Academic Affairs.

L. At least 21 credits are required to fulfill the Professional Elective Program toward CSIE degree.

M. All Students must take required courses offered by the CSIE department to fulfill the required credits of the information technology category; students can refer to the list of the credit-eligible courses announced by the General Education Center. If the credits of an eligible course taken are not sufficient to satisfy the General Education requirements, students still need to make up for the remaining credits by taking other General Education courses.

III. The Major Programs consist of 3 programs:

A. Fundamental Program of Electrical Engineering and Computer Science (total 23 Credits)

Course Name Course Code Credit Year Semester Remark
Calculus(Ⅰ) AM__10500 3.0 1st Fall
Calculus(Ⅱ) AM__10800 3.0 1st Spring
General Physics (Ⅰ) PHYS10000 3.0 1st Fall
General Physics (Ⅱ) PHYS10200 3.0 1st Spring
General Physics Lab. (Ⅰ) PHYS10100 1.0 1st Fall
General Physics Lab. (Ⅱ) PHYS10300 1.0 1st Spring
Introduction to Computer Programming(Ⅰ) CSIEB0020 3.0 1st Fall
Linear Algebra CSIEB0060 3.0 1st Spring
Introduction to Computer Science CSIEB0010 3.0 1st Fall


B. Core Program of Computer Science (I) (total 26 Credits)

Course Name Course Code Credit Year Semester Remark
Introduction to Computer Programming ( I ) CSIEB0020 3 1st Fall
Lab of Programming ( I ) CSIEB0030 1 1st Fall
Introduction to Computer Programming ( II ) CSIEB0040 3 1st Spring
Lab of Programming ( II ) CSIEB0050 1 1st Spring
Digital Logic Design CSIEB0070 3 2nd Fall
Digital Systems Laboratory CSIEB0110 1 2nd Spring
Data Structures CSIEB0100 3 2nd Fall
Lab of Data Structures CSIEB0230 1 2nd Fall
Algorithm Design and Analysis CSIEB0120 3 2nd Spring
Lab of Algorithm Design CSIEB0180 1 2nd Spring
Operating Systems CSIEB0170 3 3rd Fall
Discrete Mathematics CSIEB0080 3 2nd Fall
1. Students must pass Introduction to Computer Programming (I) or (II) in order to proceed to Data Structures and/or Algorithm Design and Analysis classes.
2. CSIE students must take the Introduction to Computer Programming (I) and (II) offered for the CSIE major unless approved by the Departmental Education Committee prior to the class enrollment.


C. Core Program of Computer Science (II) (total 23 Credits)

Course Name Course Code Credit Year Semester Remark
Probability CSIEB0130 3 2nd Spring
Computer Organization CSIEB0140 3 2nd Spring
Programming Languages CSIEB0150 3 2nd Spring
Computer Architecture CSIEB0160 3 3rd Fall
Formal Languages and Automata CSIEB0190 3 3rd Spring
Compiler Design and Implementation CSIEB0200 3 3rd Spring
Undergraduate Project (I) CSIEB0320 1 3rd Fall *Original name: Independent Study (I)
Undergraduate Project (II) CSIEB0360 1 3rd Spring *Original name: Independent Study (II)
At least 1 course from below:
Electronics (I) CSIE@0110 3 2nd Fall
Electric Circuit Analysis (I) CSIE@0120 3 2nd Fall
Electric and Electronic Circuits CSIEB0090 3 2nd Fall

IV. The Professional Elective Programs (Specialized Modules of CSIE):

A. Program of Multimedia and Intelligent Computing (at least 21 credits are required to fulfill this module.

Course Name Course code Credit Year Semester Remarks
Introduction to Image Processing CSIEB0440 3 3rd Fall Image Processing course group
Image Processing CSIE52100 3 4th Spring Image Processing course group (Graduate level)
Introduction to Digital Signal Processing CSIEB0330 3 3rd Spring Digital Signal Processing course group
Digital Signal Processing CSIE57500 3 4th Spring Digital Signal Processing course group(Graduate level)
Computer Vision CSIEB0450 3 3rd Fall Computer Vision course group
Advanced Computer Vision CSIE54400 3 4th Spring Computer Vision course group (Graduate level)
Introduction to Virtual Reality CSIEB0340 3 3rd Fall Virtual Reality course group
Virtual Reality CSIE56000 3 4th Fall Virtual Reality course group (Graduate level)
3D Computer Graphics on Game Development CSIE@0160 3 3rd Fall Computer Graphics course group
Advanced Computer Graphics CSIE53300 3 4th Fall Computer Graphics course group(Graduate level)
3D Game Engine Programming CSIE@0220 3 3rd Spring Computer Graphics system course group
Advanced Computer Graphics System Design CSIE55400 3 4th Spring Computer Graphics system course group (Graduate level)
Introduction to Artificial Intelligence 3 3rd Fall Artificial intelligence course group
Artificial Intelligence CSIE51600 3 4th Fall Artificial intelligence course group (Graduate level)
Introduction to Bioinformatics 3 3rd Spring Bioinformatics course group
Computational Biology CSIE56200 3 4th Spring Bioinformatics course group (Graduate level)
Introduction to Soft Computing CSIEB0310 3 3rd Fall Soft Computing course group
Realization of Soft Computing Systems CSIE62080 3 4th Fall Soft Computing course group (Graduate level)
Programming Multimedia APPs for Mobile Platforms CSIEB0400 3 3rd Spring Mobile Platforms course group
Smart Mobile Application Design CSIE59800 3 4th Fall Mobile Platforms course group (Graduate level)
Information Retrieval 3 3rd Fall  Information Retrieval course group
Advanced Information Retrieval 3 3th Spring  Information Retrieval course group (Graduate level)
Data Mining and Applications 3 4th Fall Data Mining course group
Data Mining CSIE@0240 3 3rd Fall Data Mining course group (Graduate level)
Introductory Machine Learning CSIEB0300 3 3rd Fall Machine Learning course group
Machine Learning CSIEM0170 3 4th Fall Machine Learning course group (Graduate level)
Introductory Deep Learning CSIEB0410 3 3rd Spring Deep Learning course group
Foundation and Practice of Deep Learning CSIEM0310 3 4th Spring Deep Learning course group (Graduate level)
Introduction to data science CSIEB0420 3 3rd Spring Big Data Analytics course group
Introduction to Big Data Analytics 3 3rd Fall Big Data Analytics course group
Big Data Analytics 3 4th Spring Big Data Analytics course group (Graduate level)
Computer Game Architecture and Design CSIEB0350 3 3rd Spring
Multimedia Systems CSIE@0140 3 3rd Spring
Important Notes:

1. Up to 6 credits are transferable into this program.

For CSIE students: any CSIE elective classes are allowed to transfer into this program.

For students of other departments: any courses offered by the CSIE elective programs, Introduction to Computer Programming (I), and/or Data Structures classes are allowed to transfer into this program.

Please note: Courses of the same names but intended for non-major students are not allowed to transfer.

2. Only 1 course from the same course group can be counted as the required credits of the program, although all credits are counted for graduation. Students must decide where the course credits will be counted. If graduate-level courses are counted for undergraduate programs or for graduation, they cannot be counted again for the master programs.

3. For undergraduate students: when studying a graduate-level course with the same name course in this program, even though it is offered in different graduate programs (e.g. master, executive-master, doctoral), is deemed as the same course


B. Program of Network and System (at least 21 credits are required to fulfill this module)

Course Course code Credit Year Semester Remarks
Introductory to VLSI Design CSIEB0370 3 3rd Fall VLSI design course group
Application-Specific Integrated Circuits Design CSIE56700 3 4th Fall VLSI design course group (Graduate level)
Introduction to Embedded System Design CSIEB0380 3 3rd Spring Embedded system design course group
Software Development for Embedded Systems CSIE58100 3 4th Fall Embedded system design course group (Graduate level)
Wireless Networks #000017700 3 3rd Spring Wireless networks course group
Wireless Internet CSIE58400 3 4th Spring Wireless networks course group (Graduate level)
Computer Networks CSIEB0280 3 3rd Fall Computer networks course group
Computer Networks and Communications CSIE52500 3 4th Fall Computer networks course group (Graduate level)
Introduction to Information Security Management System CSIE@0190 3 3rd Fall Information security management system course group
Information Security Management System CSIE62050 3 4th Spring Information security management system course group (Graduate level)
Introduction to Parallel Computing CSIE@0200 3 3rd Fall Parallel computing course group
Parallel Computing CSIE61600 3 4th Fall Parallel computing course group (Graduate level)
Introduction to Cloud Computing CSIE@0210 3 4th Fall Cloud computing course group
Cloud Computing #000017800 3 4th Spring Cloud computing course group (Graduate level)
Graph Theory CSIE@0170 3 3rd Spring Graph theory course group
Advanced Graph Theory CSIE54800 3 4th Spring Graph theory course group (Graduate level)
Software Engineering CSIEB0430 3 3rd Spring
Information Security CSIEB0240 3 3rd Fall
Network Programming Design CSIE@0220 3 3rd Spring
Internet Protocols CSIEB0390 3 3rd Spring
System Programming CSIEB0260 3 4th Fall
Advanced Computer Programming 3 3rd Spring
Database Systems CSIEB0290 3 4th Fall
XML Design and Applications CSIEB0250 3 4th Fall
Internet System Design and Practice CSIEB0270 3 3rd Spring *** see note below ***
Special Topics on System-on-Chip Design CSIE58000 3 4th Fall Graduate level
Advanced Computer Architecture CSIE50300 3 4th Spring Graduate level
LoRaWAN program design and service 3 4th Spring Graduate level
Important Notes:

1. Up to 6 credits are transferable into this program.

For CSIE students: any CSIE elective classes are allowed to transfer into this program.

For students of other departments: any courses offered by the CSIE elective programs, Introduction to Computer Programming (I), and Digital Logic Design classes are allowed to transfer into this program.

Please note: Courses of the same names but intended for non-major students are not allowed to transfer.

2. Only 1 course from the same course group can be counted as the required credits of the program, although all credits are counted for graduation. Students must decide where the course credits will be counted. If graduate-level courses are counted for undergraduate programs or for graduation, they cannot be counted again for the master programs.

3. For undergraduate students: when studying a graduate-level course with the same name course in this program, even though it is offered in different graduate programs (e.g. master, executive-master, doctoral), is deemed as the same course.

*** For Internet System Design and Practice class: Students are recommended to take the Introduction to Computer Programming (I) and the Introduction to Computer Programming (II) before taking this class ***

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