Ὄ Sem1 Week 6 - Sem1 Week 11 Classroom 7 Hudson BeareBuilding Kings Buildings Ὄ Sem1 Week 1 - Sem1 Week 11

Lecture Theatre 2 Hudson BeareBuilding Kings Buildings

Ὄ Sem1 Week 1 - Sem1 Week 5 Classroom 8 Hudson BeareBuilding Kings Buildings

Ὄ Sem1 Week 1 - Sem1 Week 11 TLF Fleeming Jenkin Kings Buildings

Ὄ Sem1 Week 6 - Sem1 Week 11 Classroom 8 Hudson BeareBuilding Kings Buildings Ὄ Sem1 Week 1 - Sem1 Week 11

Lecture Theatre 2 Hudson BeareBuilding Kings Buildings

Ὄ Sem1 Week 2 - Sem1 Week 5 Classroom 8 Hudson BeareBuilding Kings Buildings

Ὄ Sem1 Week 1 - Sem1 Week 11

Classroom 8 Hudson Beare

Ὄ Sem1 Week 1 - Sem1 Week 11

Classroom 7 Hudson BeareὌ Sem1 Week 2 - Sem1 Week 11

Semester 1 TimetablePlease note this display shows a number of possible timetables for a student and does not confirm any course enrolment nor allocation to particular events Please consult My Timetable in

MyEd or the relevant School for details of your personal timetable allocations

900 1000 1110 1210 1310 1410 1510 1610

LECTURESTATISTICAL SIGNAL PROCESSING (SSP) (MSC) - LECTURE MON

LECTUREDIGITAL COMMUNICATION

4FUNDAMENTALS

LECTUREPROBABILITY RANDOM VARIABLES AND ESTIMATION THEORY

(PET) (MSC)_MON_WED

LABORATORYDIGITAL SIGNAL PROCESSING LABORATORY MSC

TUTORIALSTATISTICAL SIGNAL PROCESSING (SSP) (MSC) - TUTORIAL

LECTUREDIGITAL COMMUNICATION

4FUNDAMENTALS

LECTUREPROBABILITY RANDOM VARIABLES AND ESTIMATION THEORY

(PET) (MSC)1

LECTUREIMAGE PROCESSING

TUTORIALIMAGE PROCESSING

TUTORIALDIGITAL COMMUNICATION

4FUNDAMENTALS

Generated on 18th September 2015

Mon

day

Statistical Signal Processing (SSP) (MSc) Digital Communication F

Probability Random Variables and Estimation Theory

Tues

day Digital Signal Processing Laboratory (MSc)

Wed

nesd

ay

Statistical Signal Processing (SSP) (MSc) Digital Communication F

Probability Random Variables and Estimation Theory

Thur

sday

Image Processing Image Processing Digital Communication F

Classroom 8 Hudson BeareBuilding Kings Buildings

Classroom 7 Hudson BeareBuilding Kings Buildings Classroom 2 Eng Sanderson

Building Kings Buildings

Ὄ Sem1 Week 1 - Sem1 Week 11

Lecture Theatre 2 Hudson BeareBuilding Kings Buildings

Ὄ Sem1 Week 1 - Sem1 Week 11

Classroom 4 Hudson BeareBuilding Kings Buildings

Ὄ Sem1 Week 6 - Sem1 Week 11 Classroom 8 Hudson BeareBuilding Kings Buildings Ὄ Sem1 Week 1 - Sem1 Week 11

Classroom 2 Eng SandersonBuilding Kings Buildings

Ὄ Sem1 Week 1 - Sem1 Week 5 Classroom 8 Hudson BeareBuilding Kings Buildings

LECTUREDIGITAL SIGNAL ANALYSIS 4LECTURE FRI AM2DIGITALSIGNAL ANALYSIS 4 LECTURE

FRI AM1

LECTUREIMAGE PROCESSING

LECTURESTATISTICAL SIGNAL PROCESSING (SSP) (MSC) - LECTURE

FRIDAY

LECTUREDIGITAL SIGNAL ANALYSIS4DISCRETE-TIME SIGNAL

ANALYSIS

LECTUREPROBABILITY RANDOM VARIABLES AND ESTIMATION THEORY

(PET) (MSC)

Courses Probability Random Variables and Estimation Theory (PET) (MSc) Statistical Signal Processing (SSP) (MSc) Advanced Coding Techniques (MSc)

Advanced Wireless Communications (MSc) Digital Communication Fundamentals (MSc) Digital Signal Processing Laboratory (MSc) Adaptive Signal Processing

Array Processing and MIMO Systems (MSc) Advanced Concepts in Signal Processing Image Processing Discrete-time Signal Analysis (MSc)

If you selected additional courses that are not displayed here then there are no events for these courses

Events are coloured by the course they belong to Full class events appear with a solid colour

Optional events that can be chosen between are labelled OPT and have a diagonal stripe

A2 These optional events are labelled with options eg A1-A4 this means you must pick one of the four A options either the A1 A2 A3 or A4 event(s)

Ὄ If it looks like two events clash be sure to check the weeks they are running these are written next to the Ὄ icon

Thur

sday

Discrete-time Sig A1OPTFr

iday

Discrete-time Signal Ana Image Processing Statistical Signal Processing (SSP) (MSc) Discrete-time Sign A2OPT Discrete-time Signal Anal

Probability Random Variables and Estimation Theory

Classroom 8 Hudson BeareBuilding Kings Buildings

Classroom 7 Hudson BeareBuilding Kings Buildings Classroom 2 Eng Sanderson

Building Kings Buildings

Ὄ Sem1 Week 1 - Sem1 Week 11

Lecture Theatre 2 Hudson BeareBuilding Kings Buildings

Ὄ Sem1 Week 1 - Sem1 Week 11

Classroom 4 Hudson BeareBuilding Kings Buildings

Ὄ Sem1 Week 6 - Sem1 Week 11 Classroom 8 Hudson BeareBuilding Kings Buildings Ὄ Sem1 Week 1 - Sem1 Week 11

Classroom 2 Eng SandersonBuilding Kings Buildings

Ὄ Sem1 Week 1 - Sem1 Week 5 Classroom 8 Hudson BeareBuilding Kings Buildings

LECTUREDIGITAL SIGNAL ANALYSIS 4LECTURE FRI AM2DIGITALSIGNAL ANALYSIS 4 LECTURE

FRI AM1

LECTUREIMAGE PROCESSING

LECTURESTATISTICAL SIGNAL PROCESSING (SSP) (MSC) - LECTURE

FRIDAY

LECTUREDIGITAL SIGNAL ANALYSIS4DISCRETE-TIME SIGNAL

ANALYSIS

LECTUREPROBABILITY RANDOM VARIABLES AND ESTIMATION THEORY

(PET) (MSC)

Courses Probability Random Variables and Estimation Theory (PET) (MSc) Statistical Signal Processing (SSP) (MSc) Advanced Coding Techniques (MSc)

Advanced Wireless Communications (MSc) Digital Communication Fundamentals (MSc) Digital Signal Processing Laboratory (MSc) Adaptive Signal Processing

Array Processing and MIMO Systems (MSc) Advanced Concepts in Signal Processing Image Processing Discrete-time Signal Analysis (MSc)

If you selected additional courses that are not displayed here then there are no events for these courses

Events are coloured by the course they belong to Full class events appear with a solid colour

Optional events that can be chosen between are labelled OPT and have a diagonal stripe

A2 These optional events are labelled with options eg A1-A4 this means you must pick one of the four A options either the A1 A2 A3 or A4 event(s)

Ὄ If it looks like two events clash be sure to check the weeks they are running these are written next to the Ὄ icon

Thur

sday

Discrete-time Sig A1OPTFr

iday

Discrete-time Signal Ana Image Processing Statistical Signal Processing (SSP) (MSc) Discrete-time Sign A2OPT Discrete-time Signal Anal

Probability Random Variables and Estimation Theory