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Information Systems & Cloud Computing

Graduate Certificate Program

Information Systems & Cloud Computing

Program Description:
This certificate program is tailored to the working professional who wants to expand their knowledge of advanced data management technologies. Cloud computing, object-oriented database structure, data mining, and mobile database systems form the core of the study.


COMP SCI 5402: Data Mining & Machine Learning
Classical and modern data mining and machine learning algorithms; data preprocessing/warehousing, mining association rules, classification/prediction methods, clustering techniques, Bayesian networks; unsupervised/supervised/reinforcement learning, learning decision trees, artificial neural networks, support vector machines, and ensemble learning. Prerequisites: A "C" or better in both Comp Sci 2300 and one of Stat 3111, Stat 3113, Stat 3115, Stat 3117. Field Trip

Comp Sci 6304: Cloud Computing and Big Data Management
Covers facets of cloud computing and big data management, including the study of the architecture of the cloud computing model with respect to virtualization, multitenancy, privacy, security, cloud data management and indexing, scheming and cost analysis; it also includes programming models such as Hadoop and MapReduce, crowd sourcing, and data provenance. Prerequisites: a “C” or better in both Comp Sci 5800 and either 5300 or Comp Sci 5001- Introduction to Data Mining

Comp Sci 6302: Heterogeneous and Mobile Databases
This course extensively discusses multidatabase systems (MDBS) and mobile data access systems (MDAS), moreover it will study traditional distributed database issues within the framework of MDBSs and MDASs.

Students choose one of the following:

Comp Sci 5300: Database Systems
This course introduces the advanced database concepts of normalization and functional dependencies, transaction models, concurrency and locking, time stamping, serializability, recovery techniques, and query planning and optimization. Students will participate in programming projects. The course assumes students have an introductory course in database systems.

Comp Sci 6402: Data Mining & Knowledge Discovery
Data mining and knowledge discovery utilizes both classical and new algorithms, such as machine learning and neural networks, to discover previously unknown relationships in data. Key data mining issues to be addressed include knowledge representation and knowledge acquisition (automated learning).

Comp Sci 6601: Privacy Preserving Data Integration and Analysis
This course covers basic tools, in statistics and cryptography, commonly used to design privacy-preserving and secure protocols in a distributed environment as well as recent advances in the field of privacy-preserving data analysis, data sanitization and information retrieval. Students are expected to complete a course project on a relevant topic of their choosing.


* Curriculum is subject to change. Please contact the department for up-to-date information on courses. Other courses approved by the department may be substituted for any of the above listed courses on a case-by-case basis. The administrative coordinators must approve the substitution prior to enrolling in the course.


Admission Requirements

The only entrance requirement for students entering a graduate certificate program is that they satisfy the prerequisites for any course they take in the program.

Admission into MS Graduate Program:
A student who completes a graduate certificate program in computer science with grades of B or better will be admitted into the master's degree program in computer science at London College of Information Technology.

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