CTEC 216: Digital Electronics
IENG 251: Project Engineering
Refer to Canvas: Dashboard (instructure.com)
M01 – Digital Electronics (instructure.com)
M01 – Project Engineering (instructure.com)
W01 – Project Engineering (instructure.com)
Location:
- 1855 Broadway, Manhattan, New York City, NY 10023
- Harry Schure Hall, Old Westbury, Long Island, NY 11568
For CTEC 216
Fundamentals of Digital Electronics
- pMOS, nMOS and CMOS transistors
- Semiconductor processes and MOS plate layout Procedure
- Switching Algebra
- Logic Gates, Combinational Logic, Transmission Gate Logic
- Sequential Logic, State Machine
- Flip-flops, Counters, Registers, Memory, DMA, Cache
- PAL, GAL, CPLD, FPGA, RTL coding (VHDL)
- TTL, SSI, MSI, LSI, VLSI, ULSI
- A/D – D/A, Anti-aliasing and reconstruction Filters
- ALU, CPU, Microcontroller, DSP
- Boundary Scan, bug-shooting, Test and Verification
For IENG 251
- Organization design, Globalization, Supply Chain, SWOT Analysis, Strategic Decision making (Weighted-rating, Perceptron), Product structure (Decision Tree).
- Theory of Absolute Advantage (Adam Smith), Theory of Comparative Advantage (David Ricardo), Theory of Competitive Advantage (Michael Porter).
- Project management (planning, scheduling and control, Statistical Signal Processing, RV Expectation & Deviation), WBS (work breakdown structure), LLC (Low Level Coding).
- Demand Prediction and Forecasting methods: Tracking signals; Associative forecasting.
- Time Series Forecasting by Deep Learning CNN (DL/ML/Regression Trees). Weighted-rating model v.s. Perceptron.
- Cost Estimating Models: Cost Indexes, Power-Sizing model, Learning Curve.
- Delivery Methods (DB: Design-Build, DBB: Design-Bid-Build), Contract Types (Fixed Price, Reimbursable).
- Progress Control: Project Development and Phases, Contingency v.s. Uncertainty.
- Cost Control: Budget vs Actual Measures. EV (Earned value) and CPI & SPI Cost/Schedule Performance Index.
- Microsoft Project tool applications for Gantt Chart, Scheduling, Supervision, Resource and Cost management.
- Quality Control, Statistical methods (CLT: central limit theorem), Design capacity (Utilization), Bottleneck, Break-Even analysis.
- OM (Operation management) Strategies:
- Process Strategy
- Location Strategies
- Layout Strategies
- Tit-For-Tat cooperative Strategy
- Design of Products and Services
- Managing Quality
- Scheduling
- Supply-Chain Management
- Inventory Management
- Human Resources
- Maintenance
- Ops: DevOps (Development operations), MLOps (Machine learning operations).
- Supply Chain design, inventory management, aggregate planning, operation planning, materials resource planning, JIT (just-in-time) production, Lean enterprise, equipment maintenance and reliability.
- Advanced topics in operations engineering: Intro to LP (Linear programming), Queue theory, Monte Carlo simulation.
