CSCD 467 — PARALLEL AND CLOUD COMPUTING and PARALLEL AND CLOUD COMPUTING LAB
Learning Objectives & Matches
Apply concurrency features in Java when implementing real world problems, including monitors, barrier, conditional wait, mutual exclusion etc.
Monitor program performance to ensure efficient and problem-free operations.
Observe machine operations to detect any problems, making necessary adjustments to correct problems.
Develop or implement actions such as lockouts, tagouts, or clearances to allow equipment to be safely repaired.
Implement or test design solutions.
Monitor system operation to detect potential problems.
Modify cutting programs to account for problems encountered during operation, and save modified programs.
Monitor machine operations to determine whether adjustments are necessary, stopping machines when problems occur.
Observe position and progress of vessels to ensure best use of lock spaces or bridge opening spaces.
Verify stability, interoperability, portability, security, or scalability of system architecture.
Develop and implement solutions for network problems.
Demonstrate an understanding the issues and challenges in writing correct and efficient shared-memory threaded programs.
Monitor program performance to ensure efficient and problem-free operations.
Write simple programs for computer-controlled machine tools.
Consult with and assist computer operators or system analysts to define and resolve problems in running computer programs.
Modify cutting programs to account for problems encountered during operation, and save modified programs.
Compile and write documentation of program development and subsequent revisions, inserting comments in the coded instructions so others can understand the program.
Modify existing software to correct errors, allow it to adapt to new hardware, or to improve its performance.
Collaborate with computer manufacturers and other users to develop new programming methods.
Implement changes to machine programs, and enter new specifications, using computers.
Modify existing software to correct errors, adapt it to new hardware, or upgrade interfaces and improve performance.
Write new functions or applications in programming languages to conduct analyses.
Demonstrate an understanding the concepts of Cloud computing and Distributed Computing, and use Hadoop and MapReduce to store and process large datasets.
Map data between source systems, data warehouses, and data marts.
Write and execute scripts to automate tasks, such as parsing large data files.
Organize or work with detailed office or warehouse records, using computers to enter, access, search or retrieve data.
Program and use computers to store, process, and analyze data.
Operate and manage land-information computer systems, performing tasks such as storing data, making inquiries, and producing plots and reports.
Prepare and structure data warehouses for storing data.
File data and related information, and maintain and update databases.
Design, implement, or operate comprehensive data warehouse systems to balance optimization of data access with batch loading and resource utilization factors, according to customer requirements.
Set up database clusters, backup, or recovery processes.
File and store completed documents on computer hard drive or disk, or maintain a computer filing system to store, retrieve, update, and delete documents.