Target concepts (C), skills (S) & abilities (A) should be:

Essentials
==========
- Preliminaries
  - Ability to identify elements of control systems and specify their
  interconnections through block diagrams. (A)
  - Understand pros/cons of the feedback architecture. (C)
  - Have a conceptual understanding of typical requirements of
    feedback control systems (C)
  - Appreciate the issue of dynamic system behaviour and the need to
    compensate for it in control design. Notion of stability and
    transient/steady-state behaviour(C)

- Mathematical machinery: Have the mathematical background to analyse
  and work with linear, constant-coefficient ordinary differential
  equations - LTI systems that describe single-input, single-output
  systems. (A)

  - standard representations: single linear ODE, state-space
    descriptions of LTI systems
  - importance of linearity and time-invariance 
  - homogenous solution, particular solution for first-order systems
  - characteristic polynomial: location of roots on the complex plane
  and its influence on stability, nature of transient response
  - convolution integral, impulse response, step response
  - transient response, typical performance metrics: rise time,
  setting time, overshoot, steady-state error
  - Laplace Transforms
  - transfer functions, poles and zeros, algebra of transfer
  functions, loading effect
  - Frequency response: significance, relation to impulse response and
  TFs, Bode Plots, Nyquist Plots

- Simulation Tools
  - Be able to simulate the response of dynamic systems in a
  computational environment such as MATLAB/SciLab. (A)

- Modeling:
  - Appreciate the requirements of a control-oriented model (C)
  - Have the ability to invoke physical laws with appropriate
  assumptions and approximations to arrive at control-oriented models
  (described by ODEs)
  - Understand the significance and the process of model linearization
    - Understand the concept of eqbm points
    - Have the ability to derive the (Jacobian) linearized system given the
    non-linear ODE describing the dynamics of the system under
    investigation

- Robustness:
  - Understand the notion of robustness in control design/analysis (C)
  - Appreciate the terms signal and model uncertainty (C)
  - Be familiar with established notions of robustness for SISO systems such as
  gain/phase margins, percentage variation etc.

- Control Design:
  - Understand the process of control design (C)
  - Be familiar with typical control system design specifications:
  time-domain specifications, frequency-domain specifications
  - Appreciate the elements of the PID controller
  - Be able to synthesize simple control algorithms for
  LTI plants: using Root Loci, Bode Plots and pole placement
  techniques. (S)
  - Understand the importance of incorporating robustness into the
  design process (C)
  - Be able to accommodate effect of sensor noise, time delay,
    actuator saturation

- Digital implementation of controllers
  - Understanding why digital implementation is useful
  - Basic understanding of the sampling/hold processes (A/D, D/A)
  - Appreciate the Nyquist sampling theorem/aliasing
  - Be able to arrive at discrete realizations of continuous time controllers
  - Appreciate the effect of sampling time on the control performance

- Multivariable control
  - Be exposed to the state-space framework to deal with multi-input,
  multi-output linear systems
  - Elementary linear algebra: vector spaces, linear independence,
  basis, eigen values, eigen vectors 
  - LTI systems (open loop) aspects: realizations, relation to
  transfer functions, stability, controllability,
  observability
  - LTI systems (closed loop) aspects: state-feedback controller,
  Luenberger Observers
  - Introduction to linear optimal control