Converting Nvarchar to date/datetime

Hi guys
I have a date fields say like this: [Letters Delivery Date]  stored as nvarchar, i would like to select
some date part from the fields in format [mm][yyyy] (space betwwen) and [ww][yyyy] (space between) week starting Monday
the string is currently stored as mm/dd/yyyy.
I have tried every conversion I can still not getting any result
any help would be appreciated.
Thanks

Please post DDL, so that people do not have to guess what the keys, constraints, Declarative Referential Integrity, data types, etc. in your schema are. Learn how to follow ISO-11179 data element naming conventions and formatting rules. Temporal data should
use ISO-8601 formats (you did not; in fact, nothing is right!). Code should be in Standard SQL as much as possible and not local dialect. 
This is minimal polite behavior on SQL forums. 
>> I have a date fields [sic] say like this: [Letters Delivery Date]  stored as NVARCHAR(N), I would like to select some date part from the fields [sic] in format [mm][yyyy] (space between) and [ww][yyyy] (space between) week starting Monday.  the
string is currently stored as mm/dd/yyyy. I have tried every conversion I can still not getting any result <<
Columns are not fields. You want to use Chinese Unicode instead of a DATE data type. The display format you invented will not sort as a string! There is an ISO standard for week dates. This format is 'yyyyWww-d' where yyyy is the year, W is a separator token,
ww is (01-53) week number and d is (1-7) day of the week.
You input any calendar date, find the week-within-year column and return the dates that match on a LIKE predicate.
WHERE sale_day LIKE '2012W26-[67]'
There are several websites with calendars you can cut & paste, but you can start your search with: http://www.calendar-365.com/week-number.html 
>> any help would be appreciated. <<
Fire the moron that did this to you and re-write all of his code. 
--CELKO-- Books in Celko Series for Morgan-Kaufmann Publishing: Analytics and OLAP in SQL / Data and Databases: Concepts in Practice Data / Measurements and Standards in SQL SQL for Smarties / SQL Programming Style / SQL Puzzles and Answers / Thinking
in Sets / Trees and Hierarchies in SQL

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