People Innovation Excellence

Courses

Scientific Computation

Learning Outcomes At the end of this course, the students will be able to understand and use the methods to solve mathematical problems Topics Stochastic differential equations Numerical metho...

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SCIENTIFIC COMPUTATION (4 Credits)

Learning Outcomes: On successful completion of this course, students will be able to: explain data mining and statistical data mining concept; demonstrate data exploration and detection of anomaly pr...

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SCIENTIFIC COMPUTING (2/1 Credits)

Learning Outcomes : On successful completion of this course, student will be able to: Compute basic scientific computation using Python; Solve the Systems of Linear Algebraic Equations, Regression an...

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SCIENTIFIC COMPUTING (2/1 Credits)

Learning Outcomes: Compute basic scientific computation using Python Solve the Systems of Linear Algebraic Equations, Regression and Interpolation through scientific computation Examine th...

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SCIENTIFIC COMPUTING (2/1 SCU)

Learning Outcomes: On successful completion of this course, students will be able to: Compute basic scientific computation using Python; solve the Systems of Linear Algebraic Equations, Regression an...

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SCIENTIFIC COMPUTING (3 SCU)

Learning Outcomes: Upon successful completion of this course, students are expected to be able to: Understand the intuitive and analytical thinking for problem-solving situations in related areas of ...

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Scientific Computing Lab

Learning Outcome At the end of this course, students will be able to: Describe basic procedures to use Python, Numpy and TkInter; Explain scientific programming with Python; Demonstrate some program ...

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SCIENTIFIC COMPUTING LAB (2 Credits)

Learning Outcomes: On successful completion of this course, student will be able to: Describe basic programming: looping, decision statement and functions using Python; Explain data structure and obj...

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