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| Ajou-fag | credit/SP | NTNU-fag | Comment | OK? |
|---|---|---|---|---|
| IIS6611 - Advanced Data Mining | 3gc - 10 sp | IT3105 - Kunstig intelligens programmering | + Litt KPro | 2017.08.15 RS |
| Electronic Commerce | 3gc - 10 sp | KPro | Med IIS6611++ | 2017.08.15 RS |
| F056 Algorithms | 3uc=5.5sp | TDT4120 Algoritmer og datastrukturer (O) | This course deals with principles and techniques for design and analysis of computer algorithms. The topics covered are mathematical induction, asymptotic analysis of algorithm efficiency, and algorithm design techniques including divide-and-conquer, dynamic programming, greedy method, branch-and-bound, backtracking, and iterative improvements. Elements of computational complexity theory, mostly on NP-completeness, is introduced and it is also discussed how to cope with computationally intractable problems. | 2018.03.20 MLJ |
| F046 Artificial Intelligence | 3uc=5.5sp | TDT4136 Introduksjon til kunstig intelligens (O) | In this course, I will introduce AI in general. Specifically, we will study definition and history fi AI, intelligent searching algorithms, logic-based knowledge representation and reasoning, probability-based knowedge representation reasoning.I will also introduce machine learning and dada mining. Specfically, we will briefly study classification, clustering, Bayesian Networks, Neural Networks, and enforcement learning. Practically, we will solve some big data analysis and pattern recognition problem. | 2018.03.20 MLJ |
| M017/M019 Computer Program Design | 3uc=5.5sp | TDT4140 Programvareutvikling (O) | Topics include: Requirements elicitation, specification, and validation; structural, informational, behavioral, security, privacy, and computer user interface requirements; scenario analysis; application of object-oriented methodologies in requirements gathering; spiral development models; risk management models; software engineering maturity model. | 2018.03.20 MLJ |
| F031 Data Structures and Practice | 4uc=7.3sp | TDT4145 Datamodellering og databasesystemer (O) | The course introduces basic data structures, like linked lists, stacks, queues, trees and sets. Each data structure has two representations. The first is logical representation and the second is physical representation in computer memory. Programing assignments using C language will be given to implement abstract data structures using array implementation or pointer implementation. Hence, first a review of basic concepts in c language such as Arrays, pointers, structures, static memory allocation and dynamic memory allocation will be given. Programming assignments enable students to compare the logical representation and the physical representation of each abstract data structure. | 2018.03.20 MLJ |
| B081 Engineering Database and Practice | 3uc=5.5sp | TDT4145 Datamodellering og databasesystemer (O) | This course presents the fundamental concepts of database design and use. It provides a study of data models, data description languages, and query facilities including relational algebra and SQL, data normalization, transactions and their properties, physical data organization and indexing, etc. It also looks at the new trends in databases. The knowledge of the above topics will be applied in the design and implementation of a database application using a target database management system as part of a semester-long project. | 2018.03.20 MLJ |
| F080 Operating Systems | 3uc=5.5sp | TDT4186 Operativsystemer (O) | System structures, process concepts and utilization, threads, CPU scheduling, synchronization, deadlock, main memory, virtual memory, file system, I/O systems, case studies, projects. | 2018.03.20 MLJ |
| F029 Computer Graphics | 3uc=5.5sp | DT4180 Menneskemaskin-interaksjon (O) | Computer Graphics is a engineering subject for generating pictorial information from numerical information. Mathematics, Physics, Cognitinve science are base of computer graphics and it is applied to CAD, medical imaging, AR, VR, Gmae, Animation and etc. Topics of this class are - basic theories - multimedia, color theory, geomtric modeling, motion, vector. - modern computer graphics system - hardware and software including GPU, API's - Graphics API - OpenGL ES Objective of the subject is; "Student can generate image using graphics API" . | |
| B008 IE Programming and Experiment 1 | 3uc=5.5sp | TDT4112 Programmeringslab for datateknologi (O) | This course provides an introduction to computer programming concepts using the JAVA programming language. This course does not assume any preliminary knowledge in JAVA language. However, the participant should have general familiarity with their operating system environment (e.g., windows, Unix, MAC OS, etc) and also the ability to create and edit text files and manipulate directories. The course emphasis is on the object oriented facilities of JAVA and how they can be used to create structured, modular, and reusable code. | |
| B008 IE Programming and Experiment 2 | 3uc=5.5sp | TDT4113 Datateknologi, programmeringsprosjekt (O) | This is a consecutive course of IE1. In this course, we will focus on the unique features of Java itself, such as inheritance, polymorphism, GUI components, Graphics, etc., and file processing, recursive, etc., by mastering which would strengthen your programming capability. | |
| CSE714 Information Retrieval | 3uc=5.5sp | TDT4117 Informasjonsgjenfinning (O) | This course introduces information retrieval overall. In the first part, it covers Boolean retrieval and basic techniques for indexing and retrieving. In the second part, it covers advanced topics: relevance feedback, XML retrieval, vector model, probabistic model, and classification methods. At the end of class, the students present research papers related with Web information retrieval. | |
| IIS6611 Advanced Data Mining | 3gc=10sp | TDT4300 - Datavarehus og datagruvedrift | The course is aimed at providin gstudents with the most important fundamentals and techniques of Data Mining: -Predictive modeling: Classification, Regression (decision trees, neural networks, statistical models, etc) -Association rules and Link analysis -Clustering -Anomaly Detection -Interpretations -Some Advanced Machine Learning techniques -etc. With presentation of the corresponding theories,the course still maintains its practical approach with statistical S/W packages (e.g.,SAS E-miner/MATLAB/MINITAB,etc) | |
| 3uc=5.5sp | TDT4175 Informasjonssystemer | ILO(Intended Learning Objectives): K1(Students acquire basic understanding of management information systems), E1(Students will understand ethical responsibility of their career), E2(This class will raise students' awareness about corporate social responsibility) The purpose of this course is to provide an introduction to management information systems(MIS). In today's fastchanging business world, IT(infomation technology) has become a key component in accomplishing strategic and operational goals in organizations. Students are required to understand how the company utilizes ITs to revitalize business processes, improve business decision making, and gain its competitive advantage in the business world. Expected outcomes of the course are 1) Basic understanding about MIS 2) Critical thinking capability | |