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8.Tests of Hypotheses Based on a Single Sample (2 weeks)
Introduction
8.1  Hypotheses and Test Procedures  311
8.2  z Tests for Hypotheses about a Population Mean  326
8.3  The One-Sample t Test   335
8.4  Tests Concerning a Population Proportion  346

Chapter 9  Inferences Based on Two Samples (3 weeks)
Introduction  361
9.1   z Tests and Confidence Intervals for a Difference
Between Two Population Means  362
9.2  The Two-Sample t Test and Confidence Interval  374
9.3  Analysis of Paired Data  382
9.4   Inferences Concerning a Difference Between  Population  proportions  391
9.5  Inferences Concerning Two Population Variances  399

Chapter10 The Analysis of Variance (2 weeks)
Introduction  409
10.1  Single-Factor ANOVA  410
10.2  Multiple Comparisons in ANOVA  420
10.3 More on single factor ANOVA

Chapter11  Multifactor Analysis of Variance (1 weeks)
Introduction  437
11.1   Two-Factor ANOVA with Kij 5 1  438
11.2   Two-Factor ANOVA with Kij . 1  451

Chapter 12  Simple Linear Regression and Correlation (3 weeks)
Introduction  487
12.1  The Simple Linear Regression Model  488
12.2  Estimating Model Parameters  496
12.3  Inferences About the Slope Parameter !1  510
12.4   Inferences Concerning "Y ? x* and
the Prediction of Future Y Values  519
12.5  Correlation  527

Chapter13  Nonlinear and Multiple Regression (3 weeks)

Introduction  542
13.1  Assessing Model Adequacy  543
13.2   Regression with Transformed Variables  550
13.3  Polynomial Regression  562

Chapter14  Goodness-of-Fit Tests and Categorical Data Analysis (2 weeks)
Introduction  619
14.1   Goodness-of-Fit Tests When Category
Probabilities Are Completely Specified  620
14.2  Goodness-of-Fit Tests for Composite Hypotheses  627
14.3  Two-Way Contingency Tables  639

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Statistics for Engineers Y1-S2 Course Syllabus

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Introduction to engineering by Paul H Wright

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Invite gust speakers from relative subjects

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Computer Fundamentals and Programming - Presentation

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Remove Word and Excel (Lab)
+ Python (Basic)
+ Python (Advance)

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1.       Technical measurement

2.       Hand drawing application (measurement: length, angle…)

3.       Software (Autocat and solid work)

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1.       Electric charge, Electric potential and electric field (introduction to EE)

2.       Electric current, Resistance, and Ohm’s Law

3.       Renewable energy/biomass

4.       Energy transmission and distribution (out door and in-door)

5.       Circuit law

6.       Kirffchock law

7.       Application

8.       Safety and danger

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1.       Dynamics: force and Newton’s Laws of Motion (P1)

2.       Work and Energy (P1)

3.       Linear momentum and collision (P1)

4.       Victor (P1)

5.       Rotational Motion and Angular momentum (centripetal, centrifugal forces,) (P1) ( dept)

6.       Temperature (Thermodynamic) (P1)

7.       Kinematic Theory (P1)
1.       Introduction to fluid (P2)

2.       Oscillation Motion and Waves (P2)

3.       Sound (P2)

4.       Magnetism (P2)

5.       Electromagnetic waves (P2)

6.       Geometric Optics and vision (light, color, vision, reflection, refraction, dispersion) (P2)